datamllab/awesome-game-ai

Curated collection of open-source projects, research papers, and benchmarks spanning perfect and imperfect information games—from card games (Texas Hold'em, Dou Dizhu) to real-time strategy (StarCraft II) and board games (Go, Chess). Organizes implementations of landmark algorithms like AlphaGo, AlphaZero, and self-play deep reinforcement learning, alongside unified toolkits (RLCard, OpenSpiel, Unity ML-Agents) that provide standardized environments for multi-agent RL research. Resources categorized by game domain with paper citations enabling practitioners to connect algorithms to specific game implementations and benchmarks.

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