AlphaZero-inspired chess engine in Python combining Monte Carlo Tree Search with a neural network for policy & value evaluation. Supports self-play, training, and interactive CLI play. Lightweight, modular and demonstrates AI, reinforcement learning, and advanced game search.

ai alphazero-inspired chessai mcts montecarlotreesearch neuralnetwork portfolioproject python reinforcementlearning
5 Open Issues Need Help Last updated: Sep 17, 2025

Open Issues Need Help

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good first issue refactor

AlphaZero-inspired chess engine in Python combining Monte Carlo Tree Search with a neural network for policy & value evaluation. Supports self-play, training, and interactive CLI play. Lightweight, modular and demonstrates AI, reinforcement learning, and advanced game search.

Python
#ai#alphazero-inspired#chessai#mcts#montecarlotreesearch#neuralnetwork#portfolioproject#python#reinforcementlearning
enhancement good first issue config maintenance

AlphaZero-inspired chess engine in Python combining Monte Carlo Tree Search with a neural network for policy & value evaluation. Supports self-play, training, and interactive CLI play. Lightweight, modular and demonstrates AI, reinforcement learning, and advanced game search.

Python
#ai#alphazero-inspired#chessai#mcts#montecarlotreesearch#neuralnetwork#portfolioproject#python#reinforcementlearning
enhancement good first issue testing

AlphaZero-inspired chess engine in Python combining Monte Carlo Tree Search with a neural network for policy & value evaluation. Supports self-play, training, and interactive CLI play. Lightweight, modular and demonstrates AI, reinforcement learning, and advanced game search.

Python
#ai#alphazero-inspired#chessai#mcts#montecarlotreesearch#neuralnetwork#portfolioproject#python#reinforcementlearning
Develop GUI for Gameplay about 2 months ago
enhancement good first issue short term frontend

AlphaZero-inspired chess engine in Python combining Monte Carlo Tree Search with a neural network for policy & value evaluation. Supports self-play, training, and interactive CLI play. Lightweight, modular and demonstrates AI, reinforcement learning, and advanced game search.

Python
#ai#alphazero-inspired#chessai#mcts#montecarlotreesearch#neuralnetwork#portfolioproject#python#reinforcementlearning
good first issue performance

AlphaZero-inspired chess engine in Python combining Monte Carlo Tree Search with a neural network for policy & value evaluation. Supports self-play, training, and interactive CLI play. Lightweight, modular and demonstrates AI, reinforcement learning, and advanced game search.

Python
#ai#alphazero-inspired#chessai#mcts#montecarlotreesearch#neuralnetwork#portfolioproject#python#reinforcementlearning