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# NeoChess
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NeoChess is a self-learning chess engine written in Python. It uses PyTorch to build a neural network that evaluates chess positions, and it learns by playing games against the Stockfish engine and itself. The core learning mechanism is based on reinforcement learning principles, where the model is rewarded for winning games and penalized for losing.
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## How It Works
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The training process is orchestrated by the `selfchess.py` script, which follows these steps:
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# NeoChess
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NeoChess is a self-learning chess engine written in Python. It uses PyTorch to build a neural network that evaluates chess positions, and it learns by playing games against the Stockfish engine and itself. The core learning mechanism is based on reinforcement learning principles, where the model is rewarded for winning games and penalized for losing.
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Note that this game was played with the parameter epsilon being set to inf
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## How It Works
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The training process is orchestrated by the `selfchess.py` script, which follows these steps:
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