PlayBoardAI

A Project to implement Reinforcement Learning Algorithms in some uncommon games

Chess AI

Instructions

• Entry point: main.py
• Change gamemode with key 'a' (pvp or ai)
• Change AI depth with keys '2' or '3' -- its depth can be changed in the code depending on the computational power
• Change theme with key 't' (green, brown, blue, grey, cs)
• Restart the game with key 'r'

2048

Instructions

• run the 2048_mcts.py file and hit the up arrow key for the ai to start

Liar's Dice

Instructions

• run the main_game.py file and hit the up arrow key to start the game
• run the terminalplay.py file to run the game on terminal
• run the train.py file to train a model, model is trained for given combination of dice. So run python ./train.py d1 d2 , to train a model for given set of dices

Othello

Instructions

• run the main.py file to play the game on terminal
• run the train.py file to train a model