Autonomous Agent Gaming

This gives you everything you need to build game-playing bots, from simple rule-based agents to reinforcement learning systems. You get implementations of minimax with alpha-beta pruning, Monte Carlo tree search, and Q-learning, plus strategy components like opening books and endgame tablebases. The chess engine example using python-chess is solid, and the multi-stage adaptive agent that switches strategies based on game phase is a nice touch. If you're building AI opponents, testing game balance, or experimenting with game theory, the included benchmarking tools and OpenAI Gym integration will save you setup time. The Q-learning implementation is straightforward but you'll want to extend it for complex games.