An agent learns to play Tetris through reinforcement learning. The primary algorithm for the agent is Monte Carlo Tree Search (MCTS), a heuristic search algorithm commonly used for games. The implementation uses a screen capture of a Tetr.io window to directly input moves into the game.
SanjayVijay27/tetris-rl
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