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An elegant PyTorch deep reinforcement learning library for vibe coders building AI-powered applications.
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features.
A comprehensive resource for learning deep reinforcement learning with Python and Jupyter Notebook.
Massively parallel deep reinforcement learning library for efficient, stable, and lightweight RL models.
A collection of implementations from a free course on deep reinforcement learning using TensorFlow and PyTorch.
PyTorch implementation of popular reinforcement learning algorithms like A2C, PPO, ACKTR and GAIL for developers.
Modularized implementation of deep reinforcement learning algorithms in PyTorch for researchers and developers.
Minimal implementations of basic reinforcement learning algorithms in PyTorch for educational purposes.
Concise PyTorch implementations of popular deep reinforcement learning algorithms like REINFORCE, A2C, DQN, PPO, DDPG, TD3, and SAC.
Modular deep reinforcement learning framework in PyTorch for building AI-powered applications.
PyTorch implementation of Deep Reinforcement Learning algorithms like TRPO, PPO, A2C, and GAIL.
High quality implementations of Deep Reinforcement Learning algorithms written in PyTorch
XuanCe is a comprehensive and unified deep reinforcement learning library for a variety of environments and tasks.
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