{"repo":"vwxyzjn/cleanrl","free":true,"listed":false,"github":"https://github.com/vwxyzjn/cleanrl","clone":"git clone https://github.com/vwxyzjn/cleanrl.git","description":"High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)","language":"Python","stars":10284,"topics":["wandb","reinforcement-learning","pytorch","python","gym","machine-learning","deep-reinforcement-learning","deep-learning","atari","ale"],"license":null,"category":"machine-learning","readme_excerpt":"CleanRL (Clean Implementation of RL Algorithms) CleanRL is a Deep Reinforcement Learning library that provides high-quality single-file implementation with research-friendly features. The implementation is clean and simple, yet we can scale it to run thousands of experiments using AWS Batch. The highlight features of CleanRL are: 📜 Single-file implementation Every detail about an algorithm variant is put into a single standalone file. For example, our ppo atari.py only has 340 lines of code but contains all implementation details on how PPO works with Atari games, so it is a great reference implementation to read for folks who do not wish to read an entire modular library . 📊 Benchmarked Implementation (7+ algorithms and 34+ games at https://benchmark.cleanrl.dev) 📈 Tensorboard Logging 🪛 Local Reproducibility via Seeding 🎮 Videos of Gameplay Capturing 🧫 Experiment Management with Weights and Biases 💸 Cloud Integration with docker and AWS You can read more about CleanRL in our JMLR paper and documentation. Notable CleanRL-related projects: corl-team/CORL: Offline RL algorithm implemented in CleanRL style pytorch-labs/LeanRL: Fast optimized PyTorch implementation of CleanRL RL algorithms using CUDAGraphs. ℹ️ Support for Gymnasium : Farama-Foundation/Gymnasium is the next generation of openai/gym that will continue to be maintained and introduce new features. Please see their announcement for further detail. We are migrating to gymnasium and the progress can be tracked in","default_branch":null,"files":null,"tree":[],"storefront":"/r/vwxyzjn","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/vwxyzjn/cleanrl/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}