Showing 1-12 of 12 projects
A comprehensive Chinese tutorial on reinforcement learning, with implementations of popular RL algorithms.
An elegant PyTorch deep reinforcement learning library for vibe coders building AI-powered applications.
Simple reinforcement learning tutorials in Python using TensorFlow for AI/ML developers.
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features.
This is a repository for the Udacity Deep Reinforcement Learning Nanodegree program, focusing on deep reinforcement learning algorithms and techniques.
Massively parallel deep reinforcement learning library for efficient, stable, and lightweight RL models.
Modularized implementation of deep reinforcement learning algorithms in PyTorch for researchers and developers.
Clean, robust, and unified PyTorch implementation of popular Deep Reinforcement Learning (DRL) algorithms.
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.
PyTorch implementation of state-of-the-art reinforcement learning algorithms for vibe coders.
XuanCe is a comprehensive and unified deep reinforcement learning library for a variety of environments and tasks.
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