Showing 1-10 of 10 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.
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features.
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.
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.
A collection of high-quality, single-file implementations of state-of-the-art offline and offline-to-online reinforcement learning algorithms.
A deep reinforcement learning project for mobile robot navigation in a Gazebo simulator using the ROS framework.
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