diff --git a/.gitignore b/.gitignore
new file mode 100644
index 0000000..29b93d5
--- /dev/null
+++ b/.gitignore
@@ -0,0 +1,3 @@
+.vs/
+x64/*
+TicTacToeQ/x64/*
\ No newline at end of file
diff --git a/TicTacToeQ.sln b/TicTacToeQ.sln
new file mode 100644
index 0000000..2229544
--- /dev/null
+++ b/TicTacToeQ.sln
@@ -0,0 +1,31 @@
+
+Microsoft Visual Studio Solution File, Format Version 12.00
+# Visual Studio Version 16
+VisualStudioVersion = 16.0.30611.23
+MinimumVisualStudioVersion = 10.0.40219.1
+Project("{8BC9CEB8-8B4A-11D0-8D11-00A0C91BC942}") = "TicTacToeQ", "TicTacToeQ\TicTacToeQ.vcxproj", "{8CAE0193-9BC4-4021-A498-A108E4C6C19E}"
+EndProject
+Global
+	GlobalSection(SolutionConfigurationPlatforms) = preSolution
+		Debug|x64 = Debug|x64
+		Debug|x86 = Debug|x86
+		Release|x64 = Release|x64
+		Release|x86 = Release|x86
+	EndGlobalSection
+	GlobalSection(ProjectConfigurationPlatforms) = postSolution
+		{8CAE0193-9BC4-4021-A498-A108E4C6C19E}.Debug|x64.ActiveCfg = Debug|x64
+		{8CAE0193-9BC4-4021-A498-A108E4C6C19E}.Debug|x64.Build.0 = Debug|x64
+		{8CAE0193-9BC4-4021-A498-A108E4C6C19E}.Debug|x86.ActiveCfg = Debug|Win32
+		{8CAE0193-9BC4-4021-A498-A108E4C6C19E}.Debug|x86.Build.0 = Debug|Win32
+		{8CAE0193-9BC4-4021-A498-A108E4C6C19E}.Release|x64.ActiveCfg = Release|x64
+		{8CAE0193-9BC4-4021-A498-A108E4C6C19E}.Release|x64.Build.0 = Release|x64
+		{8CAE0193-9BC4-4021-A498-A108E4C6C19E}.Release|x86.ActiveCfg = Release|Win32
+		{8CAE0193-9BC4-4021-A498-A108E4C6C19E}.Release|x86.Build.0 = Release|Win32
+	EndGlobalSection
+	GlobalSection(SolutionProperties) = preSolution
+		HideSolutionNode = FALSE
+	EndGlobalSection
+	GlobalSection(ExtensibilityGlobals) = postSolution
+		SolutionGuid = {BF25FC9A-C759-48C5-9FD5-CECB1E7C2D80}
+	EndGlobalSection
+EndGlobal
diff --git a/TicTacToeQ/AdaptiveTTT.h b/TicTacToeQ/AdaptiveTTT.h
new file mode 100644
index 0000000..82f1509
--- /dev/null
+++ b/TicTacToeQ/AdaptiveTTT.h
@@ -0,0 +1,349 @@
+#pragma once
+#include "QLearningAgent.h"
+#include "Enemy.h"
+#include <iostream>
+#include <map>
+#include <string>
+#include <tuple>
+#include <array>
+#include <random>
+#include <math.h>
+
+
+
+class TicTacToe
+{
+public:
+	int BOARD_ROWS = 3;
+	int BOARD_COLS = 3;
+	int BOARD_SIZE = 9;
+	int REMAIN_PIECES = 3;
+	int PLAYERS = 2;
+	int TURN_LIMIT;
+	int NONE = 0;
+	int LINES[8][3] = { { 0, 1, 2 }, { 3, 4, 5 }, { 6, 7, 8 },
+				{ 0, 3, 6 }, { 1, 4, 7 }, { 2, 5, 8 }, { 0, 4, 8 }, { 2, 4, 6 } };
+	int LastSet = -9999;
+
+	std::map<std::string, int> PLAYER;
+	std::map<std::string, std::string> JUDGE;
+
+	int Turn = -9999;
+	std::string Judge = "";
+	std::array<int, 9> Board = { NONE, NONE, NONE, NONE, NONE, NONE, NONE, NONE, NONE };
+	int Player = 0;
+
+
+	TicTacToe(int turn_limit = 100)
+	{
+		TURN_LIMIT = turn_limit;
+
+		PLAYER["None"] = 0;
+		PLAYER["First"] = 1;
+		PLAYER["Second"] = 2;
+
+		JUDGE["None"] = "None";
+		JUDGE["OUT_OF_RANGE"] = "out_of_range";
+		JUDGE["OVERLAP"] = "overlap";
+		JUDGE["WIN"] = "win";
+		JUDGE["DRAW"] = "draw";
+	}
+
+	void Init()
+	{
+		Player = PLAYER["First"];
+		Turn = 1;
+		Judge = JUDGE["None"];
+		for (int i = 0; i < 9; i++)
+		{
+			Board[i] = NONE;
+		}
+	}
+
+	void Set(int pos)
+	{
+		LastSet = pos;
+
+		if (pos < 0 || pos >= BOARD_SIZE)
+		{
+			Judge = JUDGE["OUT_OF_RANGE"];
+			return;
+		}
+
+		if (Board[pos] != 0)
+		{
+			Judge = JUDGE["OVERLAP"];
+			return;
+		}
+
+		if (Turn > REMAIN_PIECES)
+		{
+			for (int i = 0; i < BOARD_SIZE; i++) if (Board[i] > 0) --Board[i];
+			Board[pos] = REMAIN_PIECES;
+		}
+		else
+		{
+			Board[pos] = Turn;
+		}
+
+		for (int i = 0; i < 8; i++)
+		{
+			if (Board[LINES[i][0]] > 0 && Board[LINES[i][1]] > 0 && Board[LINES[i][2]] > 0)
+			{
+				Judge = JUDGE["WIN"];
+				return;
+			}
+		}
+
+		if (Player == PLAYER["First"])
+		{
+			Player = PLAYER["Second"];
+		}
+		else
+		{
+			Player = PLAYER["First"];
+			Turn++;
+			if (Turn >= TURN_LIMIT)
+			{
+				Judge = JUDGE["DRAW"];
+				return;
+			}
+		}
+		FlipBoard();
+		return;
+	}
+
+	void FlipBoard()
+	{
+		for (int i = 0; i < BOARD_SIZE; i++)
+		{
+			Board[i] = -Board[i];
+		}
+	}
+
+};
+
+
+class TTTConsle
+{
+public:
+	std::string PLAYER_STR[3] = { "", "���", "���" };
+	std::string PLAYER_MARK[3] = { "�@", "�Z", "�~" };
+	std::string PS[3] = { "", "�v���C���[1", "�v���C���[2" };
+
+	SimpleCPU sc;
+	TicTacToe _ttt = TicTacToe();
+	bool _showNumber = true;
+	bool _is_shown;
+	int max_depth = 12;
+
+	TTTConsle(bool Is_shown=false)
+	{
+		_is_shown = Is_shown;
+	}
+
+	void ShowTitle()
+	{
+		std::cout << "�g���Z�~�Q�[��" << std::endl;
+	}
+
+	std::tuple<std::string, int, std::array<int, 9>, QLearningAgent> step(QLearningAgent agent)
+	{
+		if (_is_shown)
+		{
+			std::cout << std::endl;
+			ShowBoard();
+			std::cout << PlayerStr() << "�̔�" << std::endl;
+		}
+		_ttt.Set(agent.act(_ttt.Board));
+		//_ttt.Set(miniMaxTurn(_ttt.Board));
+
+		if (_is_shown)
+		{
+			std::cout << "---> " << _ttt.LastSet + 1 << std::endl;
+		}
+
+		if (_ttt.Judge != _ttt.JUDGE["None"])
+		{
+			if (_is_shown) ShowResult();
+			auto tupleValue = std::tuple<std::string, int, std::array<int, 9>, QLearningAgent>(_ttt.Judge, _ttt.Player, _ttt.Board, agent);
+			return tupleValue;
+		}
+
+		if (_is_shown)
+		{
+			std::cout << std::endl;
+			ShowBoard();
+			std::cout << PlayerStr() << "�̔�" << std::endl;
+		}
+		//_ttt.Set(agent.act(_ttt.Board));
+		// _ttt.Set(RandTurn(_ttt.Board));
+		_ttt.Set(miniMaxTurn(_ttt.Board, max_depth));
+		if (_is_shown)
+		{
+			std::cout << "---> " << _ttt.LastSet + 1 << std::endl;
+		}
+
+		if (_ttt.Judge != _ttt.JUDGE["None"] && _is_shown)
+		{
+			ShowResult();
+		}
+
+		auto tupleValue = std::tuple<std::string, int, std::array<int, 9>, QLearningAgent>(_ttt.Judge, _ttt.Player, _ttt.Board, agent);
+		return tupleValue;
+	}
+
+	void ShowBoard()
+	{
+		printf("�^�[��%d\n", _ttt.Turn);
+		int flip = _ttt.Player == _ttt.PLAYER["Second"] ? -1 : 1;
+		// ������flip�K�v�H
+		for (int row = 0; row < _ttt.BOARD_ROWS; row++) {
+			std::cout << "    ";
+			for (int col = 0; col < _ttt.BOARD_COLS; col++) {
+				int pos = row * _ttt.BOARD_COLS + col;
+				int pIdx = _ttt.Board[pos] * flip > 0 ? _ttt.PLAYER["First"] :
+					_ttt.Board[pos] * flip < 0 ? _ttt.PLAYER["Second"] : _ttt.NONE;
+				std::cout << PLAYER_MARK[(int)pIdx];
+				if (_showNumber) {
+					std::string mark = "";
+					if (_ttt.Board[pos] == 0) mark = "  ";
+					else
+					{
+						mark = std::to_string(abs(_ttt.Board[pos]));
+					}
+					std::cout << "  " << mark;
+				}
+				if (col < _ttt.BOARD_COLS - 1) printf(" | ");
+			}
+			std::cout << "\n";
+			if (row < _ttt.BOARD_COLS - 1) {
+				if (_showNumber)
+				{
+					std::cout << "    -----+------+-----\n";
+				}
+				else
+				{
+					std::cout << "    ---+----+---\n";
+				}
+			}
+		}
+		printf("\n");
+	}
+
+	void ShowResult()
+	{
+		std::string msg = "";
+		if (_ttt.Judge == _ttt.JUDGE["WIN"])
+			msg += PlayerStr() + "�̏���";
+		else if (_ttt.Judge == _ttt.JUDGE["DARW"])
+			msg += "��������";
+		else if (_ttt.Judge == _ttt.JUDGE["OUT_OF_RANGE"])
+			msg += PlayerStr() + "�̔��������i�͈͊O�j";
+		else if (_ttt.Judge == _ttt.JUDGE["OVERLAP"])
+			msg += PlayerStr() + "�̔��������i�d�˒u���j";
+
+		printf("\n");
+		ShowBoard();
+		std::cout << msg << std::endl;
+	}
+
+	std::string PlayerStr()
+	{
+		return PS[_ttt.Player];
+	}
+
+	void init_TTTenv()
+	{
+		_ttt.Init();
+	}
+
+	std::string array2str(std::array<int, 9> state_array)
+	{
+		std::string str = "";
+		for (int i = 0; i < 9; i++)
+		{
+			str += std::to_string(state_array[i]);
+		}
+
+		return str;
+	}
+
+	std::array<int, 9> reset_randTTT_env()
+	{
+		_ttt.Init();
+
+		std::random_device rnd;
+		int init_turn = rnd() % 2;
+		// int init_turn = 0;
+
+		if (init_turn == 1)
+		{
+			if (_is_shown)
+			{
+				printf("\n");
+				ShowBoard();
+				std::cout << PlayerStr() << "�̔�" << std::endl;
+			}
+			int return_pos_arr[4] = { 1, 3, 5, 7 };
+			std::random_device rnd;
+			_ttt.Set(return_pos_arr[rnd() % 4]);
+			if (_is_shown)
+			{
+				std::cout << "---> " << _ttt.LastSet + 1 << std::endl;
+			}
+
+			if (_ttt.Judge != _ttt.JUDGE["None"])
+				ShowResult();
+		}
+
+		return _ttt.Board;
+	}
+
+
+	std::tuple<std::string, int, std::array<int, 9>, QLearningAgent> test_step(QLearningAgent agent)
+	{
+		if (_is_shown)
+		{
+			std::cout << std::endl;
+			ShowBoard();
+			std::cout << PlayerStr() << "�̔�" << std::endl;
+		}
+		_ttt.Set(agent.test_act(_ttt.Board));
+		//_ttt.Set(miniMaxTurn(_ttt.Board));
+
+		if (_is_shown)
+		{
+			std::cout << "---> " << _ttt.LastSet + 1 << std::endl;
+		}
+
+		if (_ttt.Judge != _ttt.JUDGE["None"])
+		{
+			if (_is_shown) ShowResult();
+			auto tupleValue = std::tuple<std::string, int, std::array<int, 9>, QLearningAgent>(_ttt.Judge, _ttt.Player, _ttt.Board, agent);
+			return tupleValue;
+		}
+
+		if (_is_shown)
+		{
+			std::cout << std::endl;
+			ShowBoard();
+			std::cout << PlayerStr() << "�̔�" << std::endl;
+		}
+		//_ttt.Set(agent.act(_ttt.Board));
+		// _ttt.Set(RandTurn(_ttt.Board));
+		_ttt.Set(miniMaxTurn(_ttt.Board, max_depth));
+		if (_is_shown)
+		{
+			std::cout << "---> " << _ttt.LastSet + 1 << std::endl;
+		}
+
+		if (_ttt.Judge != _ttt.JUDGE["None"] && _is_shown)
+		{
+			ShowResult();
+		}
+
+		auto tupleValue = std::tuple<std::string, int, std::array<int, 9>, QLearningAgent>(_ttt.Judge, _ttt.Player, _ttt.Board, agent);
+		return tupleValue;
+	}
+};
\ No newline at end of file
diff --git a/TicTacToeQ/Enemy.h b/TicTacToeQ/Enemy.h
new file mode 100644
index 0000000..0e1aec0
--- /dev/null
+++ b/TicTacToeQ/Enemy.h
@@ -0,0 +1,229 @@
+#pragma once
+#include <iostream>
+#include <array>
+#include <algorithm>
+#include <random>
+
+
+int RandTurn(std::array<int, 9> board)
+{
+	std::random_device rnd;
+
+	int pos;
+	do {
+		pos = rnd() % 9;
+	} while (board[pos] != 0);
+
+	return pos;
+}
+
+
+
+class SimpleCPU
+{
+public:
+	int LINES[8][3] = { { 0, 1, 2 }, { 3, 4, 5 }, { 6, 7, 8 },
+			{ 0, 3, 6 }, { 1, 4, 7 }, { 2, 5, 8 }, { 0, 4, 8 }, { 2, 4, 6 } };
+
+
+	int act(std::array<int, 9> board)
+	{
+		int pos;
+		pos = checkReach(board, true);
+		if (pos != -9999) return pos;
+
+		pos = checkReach(board, false);
+		if (pos != -9999) return pos;
+
+		std::random_device rnd;
+
+		do {
+			pos = rnd() % 9;
+		} while (board[pos] != 0);
+
+		return pos;
+	}
+
+	int checkReach(std::array<int, 9> board, bool Is_me)
+	{
+		std::array<int, 9> copy_board;
+		for (int i = 0; i < 9; i++)
+		{
+			copy_board[i] = board[i];
+		}
+		
+		if (!Is_me)
+		{
+			for (int i = 0; i < 9; i++)
+			{
+				copy_board[i] *= -1;
+			}
+		}
+		
+		for (int i = 0; i < 8; i++)
+		{
+			std::array<int, 3> linestate = { copy_board[LINES[i][0]], copy_board[LINES[i][1]], copy_board[LINES[i][2]] };
+
+			if ((std::find(std::begin(linestate), std::end(linestate), 2) != std::end(linestate)) && (std::find(std::begin(linestate), std::end(linestate), 3) != std::end(linestate)))
+			{
+				std::array<int, 3>::iterator iter = min_element(linestate.begin(), linestate.end());
+				int index = (int)std::distance(linestate.begin(), iter);
+				if (copy_board[LINES[i][index]] == 0) return LINES[i][index];
+
+			}
+
+			if ((find(begin(linestate), std::end(linestate), 1) != std::end(linestate)) && (std::find(std::begin(linestate), std::end(linestate), 2) != std::end(linestate)) && !(find(std::begin(board), std::end(board), 3) != std::end(board)))
+			{
+				std::array<int, 3>::iterator iter = min_element(linestate.begin(), linestate.end());
+				int index = (int)std::distance(linestate.begin(), iter);
+				if (copy_board[LINES[i][index]] == 0) return LINES[i][index];
+			}
+		}
+
+		return -9999;
+	}
+};
+
+
+
+std::array<int, 9> makeNextBoard(int set_pos, std::array<int, 9> board, int cur_peaces_num)
+{
+	std::array<int, 9> copy_board;
+	for (int i = 0; i < 9; i++)
+	{
+		copy_board[i] = board[i];
+	}
+
+	if (cur_peaces_num == 3)
+	{
+		for (int i = 0; i < 9; i++)
+		{
+			if (0 < copy_board[i]) copy_board[i]--;
+			copy_board[set_pos] = 3;
+		}
+	}
+	else
+	{
+		copy_board[set_pos] = cur_peaces_num + 1;
+	}
+
+	return copy_board;
+}
+
+
+int evaluate(int depth, std::array<int, 9> board, bool is_me)
+{
+	int lines[8][3] = { { 0, 1, 2 }, { 3, 4, 5 }, { 6, 7, 8 },
+		{ 0, 3, 6 }, { 1, 4, 7 }, { 2, 5, 8 }, { 0, 4, 8 }, { 2, 4, 6 } };
+
+	for (int i = 0; i < 8; i++)
+	{
+		if (0 < board[lines[i][0]] && 0 < board[lines[i][1]] && 0 < board[lines[i][2]])
+		{
+			if (is_me) return 20 - depth;
+			else return depth - 20;
+		}
+	}
+
+	return 0;
+}
+
+
+int miniMax(int depth, std::array<int, 9> board, bool is_me, int max_depth = 10)
+{
+	std::array<int, 9> copy_board;
+	for (int i = 0; i < 9; i++)
+	{
+		copy_board[i] = board[i];
+	}
+
+	int eval_val = evaluate(depth, copy_board, is_me);
+
+	if (eval_val != 0 || depth == max_depth) return eval_val;
+
+	is_me = !is_me;
+
+	for (int i = 0; i < 9; i++)
+	{
+		copy_board[i] *= -1;
+	}
+
+	std::vector<int> next_pos_vecter;
+	int cur_my_peaces = 0;
+	
+	for (int i = 0; i < 9; i++)
+	{
+		if (copy_board[i] == 0) next_pos_vecter.push_back(i);
+		if (0 < copy_board[i]) cur_my_peaces++;
+	}
+
+	int value = (is_me ? -10000 : 10000);
+
+	for (int pos_cand : next_pos_vecter)
+	{
+		auto next_board = makeNextBoard(pos_cand, copy_board, cur_my_peaces);
+		int child_val = miniMax(depth + 1, next_board, is_me, max_depth);
+	
+		if (is_me)
+		{
+			if (child_val > value) value = child_val;
+			
+		}
+		else
+		{
+			if (child_val < value) value = child_val;
+		}
+	}
+
+	return value;
+}
+
+
+int miniMaxTurn(std::array<int, 9> board, int depth_max)
+{
+	std::array<int, 9> eval_arr = { -999, -999, -999, -999, -999, -999, -999, -999, -999 };
+	std::array<int, 9> copy_board;
+	int cur_my_peaces = 0;
+	int remain_peaces = 0;
+	for (int i = 0; i < 9; i++)
+	{
+		copy_board[i] = board[i];
+		if (0 < copy_board[i]) cur_my_peaces++;
+		if (0 != copy_board[i]) remain_peaces++;
+	}
+
+	if (remain_peaces == 0 && copy_board[1] == 0 && copy_board[3] == 0 && copy_board[5] == 0 && copy_board[7] == 0)
+	{
+		int return_pos_arr[4] = { 1, 3, 5, 7 };
+		std::random_device rnd;
+
+		return return_pos_arr[rnd() % 4];
+	}
+
+	for (int pos_cand = 0; pos_cand < 9; pos_cand++)
+	{
+		if (copy_board[pos_cand] == 0)
+		{
+			std::array<int, 9> next_board = makeNextBoard(pos_cand, copy_board, cur_my_peaces);
+			eval_arr[pos_cand] = miniMax(0, next_board, true, depth_max);
+		}
+	}
+
+	// ���[�`�T��
+	for (int pos_cand = 0; pos_cand < 9; pos_cand++)
+	{
+		if (eval_arr[pos_cand] == 20) return pos_cand;
+	}
+
+	std::random_device rnd;
+	std::vector<int> pos_cand_vector;
+	auto iter = std::max_element(eval_arr.begin(), eval_arr.end());
+	// �ő�l�������_���ɍ̗p
+	for (int pos_cand = 0; pos_cand < 9; pos_cand++)
+	{
+		if (eval_arr[pos_cand] == (int)*iter) pos_cand_vector.push_back(pos_cand);
+	}
+
+	int rand_index = rnd() % (int)pos_cand_vector.size();
+	return pos_cand_vector[rand_index];
+}
\ No newline at end of file
diff --git a/TicTacToeQ/QLearningAgent.h b/TicTacToeQ/QLearningAgent.h
new file mode 100644
index 0000000..5ba947c
--- /dev/null
+++ b/TicTacToeQ/QLearningAgent.h
@@ -0,0 +1,27267 @@
+#pragma once
+#include <map>
+#include <unordered_map>
+#include <iostream>
+#include <array>
+#include <time.h>
+#include <random>
+#include <string>
+#include <algorithm>
+#include <numeric>
+#include <vector>
+#include <fstream>
+
+class QLearningAgent
+{
+public:
+	float alpha;
+	float gamma;
+	float epsilon;
+	std::string state = "000000000";
+	std::string ini_state = "000000000";
+	std::array<int, 9> actions;
+	std::array<int, 9> observation;
+	std::vector<float> reward_history;
+	std::string previous_state = "";
+	int previous_action = -9999;
+	//int previous_action = 0;
+	std::unordered_map<std::string, std::array<float, 9>> q_values;
+	std::mt19937 mt{ std::random_device{}() };
+
+	QLearningAgent(float init_alpha, float init_epsilon, float init_gamma, std::array<int, 9> init_actions, std::array<int, 9> init_observation)
+	{
+		alpha = init_alpha;
+		epsilon = init_epsilon;
+		gamma = init_gamma;
+		observation = init_observation;
+		actions = init_actions;
+		q_values = load_q_values();
+	}
+
+	std::unordered_map<std::string, std::array<float, 9>> _init_q_values()
+	{
+		std::unordered_map<std::string, std::array<float, 9>> q_values_tmp;
+		std::array<float, 9> tmp_arr = {1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0};
+		q_values_tmp[state] = tmp_arr;
+		return q_values_tmp;
+	}
+
+	std::string init_state()
+	{
+		previous_state = array2str(observation);
+		state = array2str(observation);
+		return state;
+	}
+
+	int act(std::array<int, 9> board)
+	{
+		std::random_device rnd;
+		std::uniform_real_distribution<float> dist(0, 1);
+		float rand_num = dist(mt);
+		int action = 0;
+
+		if (rand_num < epsilon)
+		{
+			while (true)
+			{
+				action = rnd() % 9;
+				if (board[action] == 0) break;
+			}
+		}
+		else
+		{
+			std::array<float, 9> original = q_values[state];
+			std::array<float, 9> tmp;
+
+			for (int i = 0; i < 9; i++)
+			{
+				tmp[i] = original[i];
+			}
+			
+			std::vector<size_t> indices(tmp.size());
+			std::iota(indices.begin(), indices.end(), 0);
+
+			std::sort(indices.begin(), indices.end(), [&tmp](size_t i1, size_t i2) {
+				return tmp[i2] < tmp[i1];
+				});
+			
+			std::vector<int> indices_cand;
+			float max_q = -9999999.9f;
+			for (auto v : indices)
+			{
+				if (board[v] == 0 && max_q <= tmp[v])
+				{
+					indices_cand.push_back((int)v);
+					max_q = tmp[v];
+				}
+			}
+			int rand_index = rnd() % (int)indices_cand.size();
+			action = indices_cand[rand_index];
+		}
+		
+		previous_action = action;
+		return action;
+	}
+
+	void observe(std::array<int, 9> next_state, float reward, bool is_exist_reward)
+	{
+		std::string next_state_str = array2str(next_state);
+		if (q_values.count(next_state_str) == 0)
+		{
+			std::array<float, 9> tmp_arr = { 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0 };
+			q_values[next_state_str] = tmp_arr;
+		}
+
+		previous_state = state;
+		state = next_state_str;
+
+		if (is_exist_reward)
+		{
+			reward_history.push_back(reward);
+			learn(reward);
+		}
+	}
+
+	std::string array2str(std::array<int, 9> state_array)
+	{
+		std::string str = "";
+		for (int i = 0; i < 9; i++)
+		{
+			str += std::to_string(state_array[i]);
+		}
+
+		return str;
+	}
+
+	void learn(float reward)
+	{
+		float q = q_values[previous_state][previous_action];
+		float max_q = *std::max_element(q_values[state].begin(), q_values[state].end());
+
+		q_values[previous_state][previous_action] = q + (alpha * (reward + (gamma * max_q) - q));
+	}
+
+	void test_observe(std::array<int, 9> next_state)
+	{
+		std::string next_state_str = array2str(next_state);
+
+		previous_state = state;
+		state = next_state_str;
+	}
+
+
+	int test_act(std::array<int, 9> board)
+	{
+		std::random_device rnd;
+		std::uniform_real_distribution<float> dist(0, 1);
+		float rand_num = dist(mt);
+		int action = 0;
+
+		if (q_values.count(state) != 0)
+		{
+			std::array<float, 9> original = q_values[state];
+			std::array<float, 9> tmp;
+
+			for (int i = 0; i < 9; i++)
+			{
+				tmp[i] = original[i];
+			}
+
+			std::vector<size_t> indices(tmp.size());
+			std::iota(indices.begin(), indices.end(), 0);
+
+			std::sort(indices.begin(), indices.end(), [&tmp](size_t i1, size_t i2) {
+				return tmp[i2] < tmp[i1];
+				});
+
+			std::vector<int> indices_cand;
+			float max_q = -9999999.9f;
+			for (auto v : indices)
+			{
+				if (board[v] == 0 && max_q <= tmp[v])
+				{
+					indices_cand.push_back((int)v);
+					max_q = tmp[v];
+				}
+			}
+			int rand_index = rnd() % (int)indices_cand.size();
+			action = indices_cand[rand_index];
+		}
+		else
+		{
+			std::cout << "�����_���s�������s" << std::endl;
+
+			do {
+				action = rnd() % 9;
+			} while (board[action] != 0);
+		}
+
+		return action;
+	}
+
+
+	std::unordered_map<std::string, std::array<float, 9>> load_q_values()
+	{
+		std::unordered_map<std::string, std::array<float, 9>> q_values;
+
+		q_values["02-10001-20"] = { 0.990000, 1.000000, 1.000000, 1.000000, 1.000000, 0.990000, 1.000000, 1.000000, 1.000000 };
+		q_values["0-1-2001000"] = { 0.900000, 1.000000, 1.000000, -76.200333, -60.319210, 1.000000, -85.577980, -86.930183, -51.222485 };
+		q_values["00-20-1012-3"] = { -9.010000, -9.010000, 1.000000, -9.010000, 1.000000, 5.995812, 1.000000, 1.000000, 1.000000 };
+		q_values["-200-121000"] = { 1.000000, 1.000000, -9.010000, 1.000000, 1.000000, 1.000000, 0.990000, -9.010000, -9.010000 };
+		q_values["-22100-1000"] = { 1.000000, 1.000000, 1.000000, 1.066839, 77.825478, 1.000000, 0.965610, 0.986098, 1.703470 };
+		q_values["10-10-20002"] = { 1.000000, -33.424393, 1.000000, -60.319210, 1.000000, -39.991955, 62.556385, -39.991955, 1.000000 };
+		q_values["000000000"] = { 29.079920, 80.225990, 29.831663, 23.033768, 21.834587, 42.604630, 31.081577, 78.332581, 26.389421 };
+		q_values["312-10-300-2"] = { 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000 };
+		q_values["01-1-22-3030"] = { 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000 };
+		q_values["010-1-23-320"] = { -18.019001, 1.000000, 0.934868, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, -26.127102 };
+		q_values["-202-101003"] = { 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000 };
+		q_values["20-3030-21-1"] = { 1.000000, 0.990000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000 };
+		q_values["002-303-11-2"] = { 0.990000, 0.990000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000 };
+		q_values["20-1-31300-2"] = { 1.000000, 0.925419, 1.000000, 1.000000, 1.000000, 1.000000, 4.851532, 0.934868, 1.000000 };
+		q_values["-210-3-10302"] = { 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 0.990000, 1.000000, 1.000000, 1.000000 };
+		q_values["01030-3-2-12"] = { 1.000000, 1.000000, 0.990000, 1.000000, 0.990000, 1.000000, 1.000000, 1.000000, 1.000000 };
+		q_values["-100-20-3132"] = { 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000 };
+		q_values["00-1-2-32310"] = { 42.224686, 0.938742, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 8.512123 };
+		q_values["20-1-2-33100"] = { 1.000000, 0.981000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 0.965610, 60.930737 };
+		q_values["0-2-300321-1"] = { 1.000000, 1.000000, 1.000000, 1.000000, -9.010000, 1.000000, 1.000000, 1.000000, 1.000000 };
+		q_values["003-1102-3-2"] = { 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000 };
+		q_values["00-2-1-31302"] = { 0.990000, 0.990000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 69.550323, 1.000000 };
+		q_values["0-230-1102-3"] = { 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 0.990000, 1.000000, 1.000000 };
+		q_values["0000-1-2213"] = { 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000 };
+		q_values["00023-3-11-2"] = { -33.424393, -51.222485, 90.512924, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000 };
+		q_values["3020-3-2-101"] = { 1.000000, 69.550323, 1.000000, 0.990000, 1.000000, 1.000000, 1.000000, -18.019001, 1.000000 };
+		q_values["300-11-3-202"] = { 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000 };
+		q_values["-30231-1-200"] = { 1.000000, 0.943047, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 0.943047, 0.938742 };
+		q_values["-1-332100-20"] = { 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, -26.127102, -33.424393, 1.000000, -33.424393 };
+		q_values["0-2-332100-1"] = { 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000 };
+		q_values["1-13-2-30020"] = { 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, -9.010000 };
+		q_values["3-3120-100-2"] = { 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 0.990000, 1.000000 };
+		q_values["2001-2-330-1"] = { 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000 };
+		q_values["100-100000"] = { 1.000000, 1.346101, 0.944785, 1.000000, 43.621101, 0.928243, 0.938742, 0.934868, 0.934868 };
+		q_values["-203-32-1010"] = { 1.000000, -9.010000, 1.000000, 1.000000, 1.000000, 1.000000, 10.990001, 1.000000, 1.000000 };
+		q_values["132-1-30-200"] = { 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000 };
+		q_values["3120-3-2-100"] = { 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000 };
+		q_values["0031-2-3-102"] = { -99.099960, -99.099960, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, -99.099960, 1.000000 };
+		q_values["-33001-1-220"] = { 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000 };
+		q_values["-301-1-23200"] = { 1.000000, -9.010000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, -18.019001, 0.903090 };
+		q_values["0-32030-2-11"] = { 1.000000, 1.000000, 1.000000, 0.990000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000 };
+		q_values["0300-12-3-21"] = { -88.147163, 1.000000, -89.242447, -89.242447, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000 };
+		q_values["10-12003-3-2"] = { 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000 };
+		q_values["-130100-2-32"] = { 1.000000, 1.000000, 0.990000, 1.000000, 0.990000, 1.000000, 1.000000, 1.000000, 1.000000 };
+		q_values["0031-3-120-2"] = { 46.697472, -92.632454, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, -93.861282, 1.000000 };
+		q_values["03-3-11002-2"] = { 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000 };
+		q_values["02-301-2-130"] = { 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000 };
+		q_values["0-31002-1-23"] = { 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000 };
+		q_values["02-113-3-200"] = { 0.990000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000 };
+		q_values["2130-100-3-2"] = { 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000 };
+		q_values["-10-312-2300"] = { 1.000000, -18.019001, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, -26.127102, 79.106110 };
+		q_values["0-12103-20-3"] = { -9.010000, 1.000000, 1.000000, 1.000000, -9.010000, 1.000000, 1.000000, 1.000000, 1.000000 };
+		q_values["001-22-130-3"] = { 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000 };
+		q_values["2310-20-100"] = { 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000 };
+		q_values["20-1-2-31003"] = { 1.000000, -39.991955, 1.000000, 1.000000, 1.000000, 1.000000, -45.902760, -39.991955, 1.000000 };
+		q_values["-1-23002-301"] = { 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000 };
+		q_values["-31002-2-103"] = { 1.000000, 1.000000, 1.000000, 0.981000, 1.000000, 1.000000, 1.000000, 62.460560, 1.000000 };
+		q_values["0020-3-2-131"] = { -9.010000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000 };
+		q_values["-11-2030020"] = { 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000 };
+		q_values["2-21-30003-1"] = { 1.000000, 1.000000, 1.000000, 1.000000, 0.990000, 0.990000, 0.981000, 1.000000, 1.000000 };
+		q_values["30-1-2-32100"] = { 1.000000, 16.954050, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 0.959049, 0.953144 };
+		q_values["1-1030020-2"] = { 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000 };
+		q_values["-303-1-21002"] = { 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000 };
+		q_values["-2100302-3-1"] = { 1.000000, 1.000000, 10.990001, 0.990000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000 };
+		q_values["3-22-1100-30"] = { 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, -9.010000, -9.010000, 1.000000, 1.000000 };
+		q_values["12-20-330-10"] = { 1.000000, 1.000000, 1.000000, -18.019001, 1.000000, 1.000000, 4.050734, 1.000000, -9.010000 };
+		q_values["-103-2-31002"] = { 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000 };
+		q_values["0-31-23-1200"] = { 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000 };
+		q_values["-3-2000-1213"] = { 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000 };
+		q_values["-2-110200-33"] = { 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 0.990000, 1.000000, 1.000000, 1.000000 };
+		q_values["01020-3-2-13"] = { 0.959049, 1.000000, 0.959049, 1.000000, 75.694473, 1.000000, 1.000000, 1.000000, 1.000000 };
+		q_values["200-1-210-33"] = { 1.000000, 15.099936, -26.127102, 1.000000, 1.000000, 1.000000, -9.010000, 1.000000, 1.000000 };
+		q_values["-1001320-3-2"] = { 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000 };
+		q_values["03-2-1-31200"] = { 27.682049, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 0.965610, 0.972900 };
+		q_values["-20023-110-3"] = { 1.000000, 0.990000, 0.990000, 1.000000, 1.000000, 1.000000, 1.000000, 5.015550, 1.000000 };
+		q_values["20-2-310-103"] = { 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000 };
+		q_values["300-3102-1-2"] = { 1.000000, 54.835285, 0.990000, 1.000000, 1.000000, 0.990000, 1.000000, 1.000000, 1.000000 };
+		q_values["00001-1000"] = { 78.936462, 40.564262, 61.398144, 0.943941, 1.000000, 1.000000, 61.414211, 61.349190, 62.235359 };
+		q_values["10-2-100-323"] = { 1.000000, -9.010000, 1.000000, 1.000000, 0.990000, -9.010000, 1.000000, 1.000000, 1.000000 };
+		q_values["2130-1-2000"] = { 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000 };
+		q_values["20-20-101-33"] = { 1.000000, 0.981000, 1.000000, 0.972900, 1.000000, 0.972900, 1.000000, 1.000000, 1.000000 };
+		q_values["000000-100"] = { 0.900002, 0.900000, 0.900000, 0.900000, 25.634293, 0.900000, 1.000000, 0.900000, 0.900000 };
+		q_values["000-320-1-21"] = { 10.990001, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000 };
+		q_values["20001-100-2"] = { 1.000000, -64.197289, 88.131508, -51.222485, 1.000000, 1.000000, -33.424393, -39.991955, 1.000000 };
+		q_values["0-100-2021-3"] = { 0.981000, 1.000000, 1.000000, 1.000000, 1.000000, -9.010000, 1.000000, 1.000000, 1.000000 };
+		q_values["0-212-30-100"] = { 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, -9.010000, 1.000000, 1.000000, 1.000000 };
+		q_values["0-320-10-210"] = { 0.981000, 1.000000, 1.000000, 0.981000, 1.000000, 2.807891, 1.000000, 1.000000, 1.000000 };
+		q_values["10-2-100000"] = { 1.000000, 0.965610, 1.000000, 1.000000, 0.972900, 0.959049, 0.965610, 0.959049, 13.314702 };
+		q_values["002-1-2100-3"] = { 8.076830, -9.010000, 1.000000, 1.000000, 1.000000, 1.000000, -9.010000, -9.010000, 1.000000 };
+		q_values["-112000-200"] = { 1.000000, 1.000000, 1.000000, 0.990000, -9.010000, 1.000000, 1.000000, 1.000000, 1.000000 };
+		q_values["0020-2010-1"] = { 15.142152, -9.010000, 1.000000, -9.010000, 1.000000, -9.010000, 1.000000, -18.019001, 1.000000 };
+		q_values["200-2-10100"] = { 1.000000, -26.127102, -18.019001, 1.000000, 1.000000, 26.422159, 1.000000, -9.010000, -9.010000 };
+		q_values["10-320-1-200"] = { 1.000000, -9.010000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, -9.010000, -9.010000 };
+		q_values["-1000-21000"] = { 1.000000, -9.010000, -9.010000, -9.010000, 1.000000, 1.000000, -9.010000, -18.019001, 23.058819 };
+		q_values["1-100-22000"] = { 1.000000, 1.000000, 1.000000, -9.010000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000 };
+		q_values["-1001-20020"] = { 1.000000, -9.010000, -9.010000, 1.000000, 1.000000, -9.010000, 1.000000, 1.000000, 1.000000 };
+		q_values["000-20-1010"] = { -18.019001, -9.010000, -18.019001, 1.000000, 19.927267, 1.000000, -18.019001, 1.000000, -9.010000 };
+		q_values["00-1000000"] = { 0.900000, 0.902363, 1.000000, 0.900000, 21.668390, 0.900000, 0.900000, 0.900000, 0.900000 };
+		q_values["00020-2-11-3"] = { -9.010000, 1.000000, 0.990000, 1.000000, -9.010000, 1.000000, 1.000000, 1.000000, 1.000000 };
+		q_values["100-1-20002"] = { 1.000000, -9.010000, -9.010000, 1.000000, 1.000000, 1.139838, -9.010000, -9.010000, 1.000000 };
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+		q_values["20031-10-2-3"] = { 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 10.990001, 1.000000, 1.000000 };
+		q_values["-1-330210-20"] = { 1.000000, 1.000000, 1.000000, 0.990000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000 };
+		q_values["0-20-11320-3"] = { 0.972900, 1.000000, 0.981000, 1.000000, 1.000000, 1.000000, 1.000000, 0.990000, 1.000000 };
+		q_values["0-100-3213-2"] = { 1.000000, 1.000000, 1.000000, -9.010000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000 };
+		q_values["0-20021-100"] = { 1.000000, 1.000000, 1.000000, 10.990001, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000 };
+		q_values["-3-1031-2002"] = { 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 0.990000, 1.000000 };
+		q_values["-10-302-2310"] = { 1.000000, -9.010000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 45.589684 };
+		q_values["3-100021-3-2"] = { 1.000000, 1.000000, -9.010000, -9.010000, -9.010000, 1.000000, 1.000000, 1.000000, 1.000000 };
+		q_values["2-1300-21-30"] = { 1.000000, 1.000000, 1.000000, 0.990000, 0.990000, 1.000000, 1.000000, 1.000000, 1.000000 };
+		q_values["0-1203-210-3"] = { 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000 };
+		q_values["-30-21203-10"] = { 1.000000, 0.990000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000 };
+		q_values["-30123-2-100"] = { 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 0.990000, 1.000000 };
+		q_values["1030-220-3-1"] = { 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, -9.010000, 1.000000, 1.000000 };
+		q_values["321-10-3-200"] = { 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000 };
+		q_values["0-2-323-1010"] = { 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, -9.010000, 1.000000, 1.000000 };
+		q_values["-1-3002-2310"] = { 1.000000, 1.000000, 10.990001, 0.990000, 1.000000, 1.000000, 1.000000, 1.000000, 0.990000 };
+		q_values["0-3-10-22103"] = { -9.010000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000 };
+		q_values["-32001-103-2"] = { 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000 };
+		q_values["10200-2-33-1"] = { 1.000000, 0.990000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000 };
+		q_values["0310-10-3-22"] = { 2.358627, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000 };
+		q_values["0-2320-11-30"] = { -9.010000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000 };
+		q_values["23-200-31-10"] = { 1.000000, 1.000000, 1.000000, 1.000000, -9.010000, 1.000000, 1.000000, 1.000000, 1.000000 };
+		q_values["-1000321-2-3"] = { 1.000000, -9.010000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000 };
+		q_values["-20-310-1230"] = { 1.000000, 1.000000, 1.000000, 1.000000, -9.010000, 1.000000, 1.000000, 1.000000, 1.000000 };
+		q_values["-20-32103-10"] = { 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, -9.010000 };
+		q_values["-30-2-130021"] = { 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, -9.010000, 1.000000, 1.000000, 1.000000 };
+		q_values["032-21-10-30"] = { 10.990001, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000 };
+		q_values["0-2-331-1200"] = { 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, -9.010000 };
+		q_values["312-200-10-3"] = { 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000 };
+		q_values["-1000213-2-3"] = { 1.000000, 0.990000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000 };
+		q_values["0-1-330201-2"] = { 0.990000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000 };
+		q_values["-1-31-203200"] = { 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 0.990000, 1.000000 };
+		q_values["10-3-130-220"] = { 1.000000, 10.990001, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000, 1.000000 };
+
+		return q_values;
+	}
+
+	void save_q_values(std::string save_name = "q_values.txt")
+	{
+		std::ofstream outputfile(save_name);
+		for (auto itr = q_values.begin(); itr != q_values.end(); ++itr)
+		{
+			std::string q_value_str = "{";
+			for (int i = 0; i < 8; i++)
+			{
+				q_value_str += std::to_string(itr->second[i]) + ", ";
+			}
+			q_value_str += std::to_string(itr->second[8]) + " };";
+			q_value_str = "q_values[\"" + itr->first + "\"] = " + q_value_str;
+			// std::cout << q_value_str << std::endl;
+
+			outputfile << q_value_str << std::endl;
+		}
+		outputfile.close();
+	}
+};
diff --git a/TicTacToeQ/TicTacToeQ.cpp b/TicTacToeQ/TicTacToeQ.cpp
new file mode 100644
index 0000000..f900f28
--- /dev/null
+++ b/TicTacToeQ/TicTacToeQ.cpp
@@ -0,0 +1,329 @@
+#include "QLearningAgent.h"
+#include "AdaptiveTTT.h"
+#include "Enemy.h"
+#include <iostream>
+#include <map>
+#include <string>
+#include <tuple>
+#include <array>
+#include <random>
+
+
+std::tuple<std::array<int, 9>, float, bool> ReferRewards(std::string judge, bool is_me, std::array<int, 9> board)
+{
+    float reward;
+    bool is_end_episode;
+    if (judge == "None")
+    {
+        reward = 0;
+        is_end_episode = false;
+        auto return_tuple = std::tuple<std::array<int, 9>, float, bool>(board, reward, is_end_episode);
+        return return_tuple;
+    }
+
+    if (is_me)
+    {
+        std::map<std::string, float> reward_dict;
+        reward_dict["out_of_range"] = -100.0f;
+        reward_dict["overlap"] = -100.0f;
+        reward_dict["win"] = 100.0f;
+        reward_dict["draw"] = -1.0f;
+        is_end_episode = true;
+        auto return_tuple = std::tuple<std::array<int, 9>, float, bool>(board, reward_dict[judge], is_end_episode);
+        return return_tuple;
+    }
+    else
+    {
+        std::map<std::string, float> reward_dict;
+        reward_dict["out_of_range"] = 0.0f;
+        reward_dict["overlap"] = 0.0f;
+        reward_dict["win"] = -100.0f;
+        reward_dict["draw"] = -1.0f;
+        is_end_episode = true;
+        auto return_tuple = std::tuple<std::array<int, 9>, float, bool>(board, reward_dict[judge], is_end_episode);
+        return return_tuple;
+    }
+}
+
+
+int decodeResult(std::string judge, bool is_me)
+{
+    if (judge == "draw")
+    {
+        return 1;
+    }
+    else if (is_me && judge == "win")
+    {
+        return 0;
+    }
+    else if (is_me && judge == "overlap")
+    {
+        return 2;
+    }
+    else
+    {
+        return 3;
+    }
+}
+
+int main()
+{
+    const int NB_EPISODE = 1000000;
+    const float EPSILON = 0.05f;
+    const float ALPHA = 0.1f;
+    const float GAMMA = 0.90f;
+    const std::array<int, 9> ACTIONS = { 0, 1, 2, 3, 4, 5, 6, 7, 8};
+
+	TTTConsle ttt_env(false);
+    std::array<int, 9> ini_state = { 0, 0, 0, 0, 0, 0, 0, 0, 0 };
+    QLearningAgent agent(
+        ALPHA,
+        EPSILON,
+        GAMMA,
+        ACTIONS,
+        ini_state
+    );
+
+    bool is_end_episode = false;
+
+	ttt_env.init_TTTenv();
+    int myplayer_num = ttt_env._ttt.Player;
+
+    int result_array[4] = { 0, 0, 0, 0 };
+    std::vector<float> episode_rewards;
+    std::string judge;
+    int player;
+    std::array<int, 9> state;
+    ttt_env.max_depth = 12;
+
+    for (int episode = 700000; episode < NB_EPISODE; episode++)
+    {
+        // std::cout << "episode: " << i << "start" << std::endl;
+
+        while (is_end_episode == false)
+        {
+            auto q_result = ttt_env.step(agent);
+            judge = std::get<0>(q_result);
+            player = std::get<1>(q_result);
+            std::array<int, 9> board = std::get<2>(q_result);
+            agent = std::get<3>(q_result);
+            //if (judge != "None" && (player == myplayer_num)) {
+            //    std::cout << (player == myplayer_num) << "  " << judge << std::endl;
+            //}
+
+            auto decode_result = ReferRewards(judge, player == myplayer_num, board);
+            state = std::get<0>(decode_result);
+            float reward = std::get<1>(decode_result);
+            is_end_episode = std::get<2>(decode_result);
+            agent.observe(state, reward, true);
+        }
+        int result = decodeResult(judge, player == myplayer_num);
+        result_array[result] += 1;
+        std::cout << "[episode: " << episode + 1 << "]  win: " << result_array[0] << "  draw: " << result_array[1] << "  lose: " << result_array[3] << "  overlap: " << result_array[2] << std::endl;
+        for (int j = 0; j < 4; j++)
+        if (episode % 1000 == 999)
+        {
+            if (ttt_env.max_depth == 12)
+            {
+                agent.save_q_values("q_values" + std::to_string(episode) + ".txt");
+            }
+            std::cout << "[episode: " << episode + 1 << "]  win: " << result_array[0] << "  draw: " << result_array[1] << "  lose: " << result_array[3] << "  overlap: " << result_array[2] << std::endl;
+            for (int j = 0; j < 4; j++)
+            {
+                result_array[j] = 0;
+            }
+        }
+        is_end_episode = false;
+        state = ttt_env.reset_randTTT_env();
+        myplayer_num = ttt_env._ttt.Player;
+        agent.observe(state, 0, false);
+
+        if (episode == 99999)
+        {
+            int test_result_array[4] = { 0, 0, 0, 0 };
+            for (int test_episode = 0; test_episode < 10000; test_episode++)
+            {
+                while (is_end_episode == false)
+                {
+                    auto q_result = ttt_env.test_step(agent);
+                    judge = std::get<0>(q_result);
+                    player = std::get<1>(q_result);
+                    std::array<int, 9> board = std::get<2>(q_result);
+                    
+                    auto decode_result = ReferRewards(judge, player == myplayer_num, board);
+                    state = std::get<0>(decode_result);
+                    float reward = std::get<1>(decode_result);
+                    is_end_episode = std::get<2>(decode_result);
+                    agent.test_observe(state);
+                }
+                int result = decodeResult(judge, player == myplayer_num);
+                test_result_array[result] += 1;
+
+                is_end_episode = false;
+                state = ttt_env.reset_randTTT_env();
+                myplayer_num = ttt_env._ttt.Player;
+                agent.test_observe(state);
+            }
+            std::cout << "[test 1]" <<  "  win: " << test_result_array[0] << "  draw: " << test_result_array[1] << "  lose: " << test_result_array[3] << "  overlap: " << test_result_array[2] << std::endl;
+
+            ttt_env.max_depth = 4;
+            std::cout << "change to max depth => 4" << std::endl;
+        }
+
+        if (episode == 199999)
+        {
+            int test_result_array[4] = { 0, 0, 0, 0 };
+            for (int test_episode = 0; test_episode < 10000; test_episode++)
+            {
+                while (is_end_episode == false)
+                {
+                    auto q_result = ttt_env.test_step(agent);
+                    judge = std::get<0>(q_result);
+                    player = std::get<1>(q_result);
+                    std::array<int, 9> board = std::get<2>(q_result);
+
+                    auto decode_result = ReferRewards(judge, player == myplayer_num, board);
+                    state = std::get<0>(decode_result);
+                    float reward = std::get<1>(decode_result);
+                    is_end_episode = std::get<2>(decode_result);
+                    agent.test_observe(state);
+                }
+                int result = decodeResult(judge, player == myplayer_num);
+                test_result_array[result] += 1;
+
+                is_end_episode = false;
+                state = ttt_env.reset_randTTT_env();
+                myplayer_num = ttt_env._ttt.Player;
+                agent.test_observe(state);
+            }
+            std::cout << "[test 2]" << "  win: " << test_result_array[0] << "  draw: " << test_result_array[1] << "  lose: " << test_result_array[3] << "  overlap: " << test_result_array[2] << std::endl;
+
+            ttt_env.max_depth = 6;
+            std::cout << "change to max depth => 6" << std::endl;
+        }
+
+        if (episode == 299999)
+        {
+            int test_result_array[4] = { 0, 0, 0, 0 };
+            for (int test_episode = 0; test_episode < 10000; test_episode++)
+            {
+                while (is_end_episode == false)
+                {
+                    auto q_result = ttt_env.test_step(agent);
+                    judge = std::get<0>(q_result);
+                    player = std::get<1>(q_result);
+                    std::array<int, 9> board = std::get<2>(q_result);
+
+                    auto decode_result = ReferRewards(judge, player == myplayer_num, board);
+                    state = std::get<0>(decode_result);
+                    float reward = std::get<1>(decode_result);
+                    is_end_episode = std::get<2>(decode_result);
+                    agent.test_observe(state);
+                }
+                int result = decodeResult(judge, player == myplayer_num);
+                test_result_array[result] += 1;
+
+                is_end_episode = false;
+                state = ttt_env.reset_randTTT_env();
+                myplayer_num = ttt_env._ttt.Player;
+                agent.test_observe(state);
+            }
+            std::cout << "[test 3]" << "  win: " << test_result_array[0] << "  draw: " << test_result_array[1] << "  lose: " << test_result_array[3] << "  overlap: " << test_result_array[2] << std::endl;
+
+            ttt_env.max_depth = 8;
+            std::cout << "change to max depth => 8" << std::endl;
+        }
+
+        if (episode == 399999)
+        {
+            int test_result_array[4] = { 0, 0, 0, 0 };
+            for (int test_episode = 0; test_episode < 10000; test_episode++)
+            {
+                while (is_end_episode == false)
+                {
+                    auto q_result = ttt_env.test_step(agent);
+                    judge = std::get<0>(q_result);
+                    player = std::get<1>(q_result);
+                    std::array<int, 9> board = std::get<2>(q_result);
+
+                    auto decode_result = ReferRewards(judge, player == myplayer_num, board);
+                    state = std::get<0>(decode_result);
+                    float reward = std::get<1>(decode_result);
+                    is_end_episode = std::get<2>(decode_result);
+                    agent.test_observe(state);
+                }
+                int result = decodeResult(judge, player == myplayer_num);
+                test_result_array[result] += 1;
+
+                is_end_episode = false;
+                state = ttt_env.reset_randTTT_env();
+                myplayer_num = ttt_env._ttt.Player;
+                agent.test_observe(state);
+            }
+            std::cout << "[test 4]" << "  win: " << test_result_array[0] << "  draw: " << test_result_array[1] << "  lose: " << test_result_array[3] << "  overlap: " << test_result_array[2] << std::endl;
+
+            ttt_env.max_depth = 10;
+            std::cout << "change to max depth => 10" << std::endl;
+        }
+
+        if (episode == 599999)
+        {
+            int test_result_array[4] = { 0, 0, 0, 0 };
+            for (int test_episode = 0; test_episode < 10000; test_episode++)
+            {
+                while (is_end_episode == false)
+                {
+                    auto q_result = ttt_env.test_step(agent);
+                    judge = std::get<0>(q_result);
+                    player = std::get<1>(q_result);
+                    std::array<int, 9> board = std::get<2>(q_result);
+
+                    auto decode_result = ReferRewards(judge, player == myplayer_num, board);
+                    state = std::get<0>(decode_result);
+                    float reward = std::get<1>(decode_result);
+                    is_end_episode = std::get<2>(decode_result);
+                    agent.test_observe(state);
+                }
+                int result = decodeResult(judge, player == myplayer_num);
+                test_result_array[result] += 1;
+
+                is_end_episode = false;
+                state = ttt_env.reset_randTTT_env();
+                myplayer_num = ttt_env._ttt.Player;
+                agent.test_observe(state);
+            }
+            std::cout << "[test 5]" << "  win: " << test_result_array[0] << "  draw: " << test_result_array[1] << "  lose: " << test_result_array[3] << "  overlap: " << test_result_array[2] << std::endl;
+
+            ttt_env.max_depth = 12;
+            std::cout << "change to max depth => 4" << std::endl;
+            agent.save_q_values("q_values_tmp.txt");
+        }
+    }
+
+    int test_result_array[4] = { 0, 0, 0, 0 };
+    agent.save_q_values();
+    for (int test_episode = 0; test_episode < 10000; test_episode++)
+    {
+        while (is_end_episode == false)
+        {
+            auto q_result = ttt_env.test_step(agent);
+            judge = std::get<0>(q_result);
+            player = std::get<1>(q_result);
+            std::array<int, 9> board = std::get<2>(q_result);
+
+            auto decode_result = ReferRewards(judge, player == myplayer_num, board);
+            state = std::get<0>(decode_result);
+            float reward = std::get<1>(decode_result);
+            is_end_episode = std::get<2>(decode_result);
+            agent.test_observe(state);
+        }
+        int result = decodeResult(judge, player == myplayer_num);
+        test_result_array[result] += 1;
+
+        is_end_episode = false;
+        state = ttt_env.reset_randTTT_env();
+        myplayer_num = ttt_env._ttt.Player;
+        agent.test_observe(state);
+    }
+    std::cout << "[test final]" << "  win: " << test_result_array[0] << "  draw: " << test_result_array[1] << "  lose: " << test_result_array[3] << "  overlap: " << test_result_array[2] << std::endl;
+}
diff --git a/TicTacToeQ/TicTacToeQ.vcxproj b/TicTacToeQ/TicTacToeQ.vcxproj
new file mode 100644
index 0000000..34fa2bf
--- /dev/null
+++ b/TicTacToeQ/TicTacToeQ.vcxproj
@@ -0,0 +1,156 @@
+<?xml version="1.0" encoding="utf-8"?>
+<Project DefaultTargets="Build" xmlns="http://schemas.microsoft.com/developer/msbuild/2003">
+  <ItemGroup Label="ProjectConfigurations">
+    <ProjectConfiguration Include="Debug|Win32">
+      <Configuration>Debug</Configuration>
+      <Platform>Win32</Platform>
+    </ProjectConfiguration>
+    <ProjectConfiguration Include="Release|Win32">
+      <Configuration>Release</Configuration>
+      <Platform>Win32</Platform>
+    </ProjectConfiguration>
+    <ProjectConfiguration Include="Debug|x64">
+      <Configuration>Debug</Configuration>
+      <Platform>x64</Platform>
+    </ProjectConfiguration>
+    <ProjectConfiguration Include="Release|x64">
+      <Configuration>Release</Configuration>
+      <Platform>x64</Platform>
+    </ProjectConfiguration>
+  </ItemGroup>
+  <PropertyGroup Label="Globals">
+    <VCProjectVersion>16.0</VCProjectVersion>
+    <Keyword>Win32Proj</Keyword>
+    <ProjectGuid>{8cae0193-9bc4-4021-a498-a108e4c6c19e}</ProjectGuid>
+    <RootNamespace>TicTacToeQ</RootNamespace>
+    <WindowsTargetPlatformVersion>10.0</WindowsTargetPlatformVersion>
+  </PropertyGroup>
+  <Import Project="$(VCTargetsPath)\Microsoft.Cpp.Default.props" />
+  <PropertyGroup Condition="'$(Configuration)|$(Platform)'=='Debug|Win32'" Label="Configuration">
+    <ConfigurationType>Application</ConfigurationType>
+    <UseDebugLibraries>true</UseDebugLibraries>
+    <PlatformToolset>v142</PlatformToolset>
+    <CharacterSet>Unicode</CharacterSet>
+  </PropertyGroup>
+  <PropertyGroup Condition="'$(Configuration)|$(Platform)'=='Release|Win32'" Label="Configuration">
+    <ConfigurationType>Application</ConfigurationType>
+    <UseDebugLibraries>false</UseDebugLibraries>
+    <PlatformToolset>v142</PlatformToolset>
+    <WholeProgramOptimization>true</WholeProgramOptimization>
+    <CharacterSet>Unicode</CharacterSet>
+  </PropertyGroup>
+  <PropertyGroup Condition="'$(Configuration)|$(Platform)'=='Debug|x64'" Label="Configuration">
+    <ConfigurationType>Application</ConfigurationType>
+    <UseDebugLibraries>true</UseDebugLibraries>
+    <PlatformToolset>v142</PlatformToolset>
+    <CharacterSet>Unicode</CharacterSet>
+  </PropertyGroup>
+  <PropertyGroup Condition="'$(Configuration)|$(Platform)'=='Release|x64'" Label="Configuration">
+    <ConfigurationType>Application</ConfigurationType>
+    <UseDebugLibraries>false</UseDebugLibraries>
+    <PlatformToolset>v142</PlatformToolset>
+    <WholeProgramOptimization>true</WholeProgramOptimization>
+    <CharacterSet>Unicode</CharacterSet>
+  </PropertyGroup>
+  <Import Project="$(VCTargetsPath)\Microsoft.Cpp.props" />
+  <ImportGroup Label="ExtensionSettings">
+  </ImportGroup>
+  <ImportGroup Label="Shared">
+  </ImportGroup>
+  <ImportGroup Label="PropertySheets" Condition="'$(Configuration)|$(Platform)'=='Debug|Win32'">
+    <Import Project="$(UserRootDir)\Microsoft.Cpp.$(Platform).user.props" Condition="exists('$(UserRootDir)\Microsoft.Cpp.$(Platform).user.props')" Label="LocalAppDataPlatform" />
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