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Implement AlphaZero/AlphaGo Zero methods on Chinesechess
ChineseChess-AlphaZero is a project that implements the AlphaZero algorithm for the game of ChineseChess (Xiangqi). It adapts DeepMind’s AlphaZero method—combining neural networks and Monte Carlo Tree Search (MCTS)—to learn and play ChineseChess without prior human data. The system includes self-play, training, and evaluation pipelines tailored to Xiangqi's unique game mechanics.