Showing 1-10 of 10 projects
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.
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.
Modular deep reinforcement learning framework in PyTorch for building AI-powered applications.
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 Python library for Soft Actor-Critic (SAC), a powerful reinforcement learning algorithm.
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