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A standard API for multi-agent reinforcement learning environments, with popular reference environments and related utilities
Clean PyTorch implementations of imitation and reward learning algorithms
Modular Reinforcement Learning (RL) library (implemented in PyTorch, JAX, and NVIDIA Warp) with support for Gymnasium/Gym, NVIDIA Isaac Lab, MuJoCo Playground and other environments
PettingZoo and Gymnasium bindings for popular reinforcement learning environments outside of Farama
RL stock selection for China A-share — bundled polars-native factor library (105 Alpha101 + 191 GTJA Alpha191 = 296 factors), board-aware price limits, GPU train + ONNX CPU infer, MIT-licensed.