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Awesome GitHub RepositoriesReinforcement Learning Algorithm Plugins
Pluggable RL algorithms that operate on a standardized environment interface without modifying game logic.
Distinct from Pluggable Architectures: Distinct from Pluggable Architectures: specifically for reinforcement learning algorithms like DQN, NFSP, and CFR, not general pluggable patterns.
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Awesome Reinforcement Learning Algorithm Plugins GitHub Repositories
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- datamllab/rlcard
datamllab/rlcard
3,401在 GitHub 上查看RLcard is an open-source framework for developing and evaluating reinforcement learning agents across multiple card game environments. It functions as a card game environment simulator, a multi-agent RL platform, and a benchmarking toolkit for algorithms like DQN, NFSP, and CFR. The framework provides a game-agnostic environment interface that decouples agent logic from game mechanics, allowing any policy to interact through a common API. It supports pluggable reinforcement learning algorithms that operate on this interface without modifying game logic, and includes a self-play training loop
Supports pluggable RL algorithms (DQN, NFSP, DMC, CFR) that operate on the environment interface without modifying game logic.
Pythonaiblackjackcard-game
