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This project involves training the game "Misere Tic Tac Toe" to the computer using Robust and Efficient Reinforcement Learning Techniques

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ParthLa/Training-Notaktoe-using-Reinforcement-Learning

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final_execution

final_execution

 
 

3-Board-Misere-Tic-Tac-Toe-master.zip

3-Board-Misere-Tic-Tac-Toe-master.zip

 
 

AlphaGo-1.pdf

AlphaGo-1.pdf

 
 

Best policy for notakto.pdf

Best policy for notakto.pdf

 
 

Capsule NN.zip

Capsule NN.zip

 
 

Designing NN using RL.pdf

Designing NN using RL.pdf

 
 

Notaktoe_original.zip

Notaktoe_original.zip

 
 

README.md

README.md

 
 

RL Book by Zhenhua.pdf

RL Book by Zhenhua.pdf

 
 

XNOR NN.zip

XNOR NN.zip

 
 

mycode_1.py

mycode_1.py

 
 

play_UCB.py

play_UCB.py

 
 

train_UCB.py

train_UCB.py

 
 

train_while_play_UCB.py

train_while_play_UCB.py

 
 

winning_at_misere_tictactoe.pdf

winning_at_misere_tictactoe.pdf

 
 

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Training-Notaktoe-using-Reinforcement-Learning

This project involves training the game "Misere Tic Tac Toe" to the computer using Robust and Efficient Reinforcement Learning Techniques

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This project involves training the game "Misere Tic Tac Toe" to the computer using Robust and Efficient Reinforcement Learning Techniques

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games reinforcement-learning deep-learning artificial-intelligence policy-evaluation binarized-neural-networks

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