cleanrl
RL library
A single-file implementation of Deep Reinforcement Learning algorithms with research-friendly features.
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
6k stars
38 watching
642 forks
Language: Python
last commit: 7 days ago
Linked from 3 awesome lists
a2cactor-criticadvantage-actor-criticaleatarideep-learningdeep-reinforcement-learninggymmachine-learningphasic-policy-gradientppoproximal-policy-optimizationpythonpytorchreinforcement-learningwandb
ethicalml/awesome-production-machine-learning
krzjoa/awesome-python-data-science
amrzv/awesome-colab-notebooksRelated projects:
| Repository | Description | Stars |
|---|---|---|
 shangtongzhang/deeprl | A modularized implementation of various deep reinforcement learning algorithms in PyTorch | 3,189 |
 paddlepaddle/parl | A high-performance distributed training framework for Reinforcement Learning | 3,273 |
 higgsfield/rl-adventure | A tutorial on implementing and extending the Deep Q Network algorithm for reinforcement learning tasks | 3,034 |
 rlcode/reinforcement-learning | A collection of clean and minimal examples for various reinforcement learning algorithms | 3,373 |
 openai/baselines | High-quality implementations of reinforcement learning algorithms for research and development purposes | 15,810 |
 corl-team/corl | Provides high-quality implementations of offline and offline-to-online reinforcement learning algorithms in Python. | 482 |
 luchris429/purejaxrl | A high-performance implementation of reinforcement learning training pipelines using JAX and PyTorch-like functionality | 722 |
 p-christ/deep-reinforcement-learning-algorithms-with-pytorch | PyTorch implementations of popular deep reinforcement learning algorithms and environments. | 5,640 |
 labmlai/annotated_deep_learning_paper_implementations | Implementations of various deep learning algorithms and techniques with accompanying documentation | 56,215 |
 thu-ml/tianshou | A high-performance reinforcement learning library with modular interfaces and user-friendly APIs for building deep learning agents. | 7,968 |
 dlr-rm/stable-baselines3 | A collection of reliable implementations of reinforcement learning algorithms in PyTorch | 9,144 |
 ikostrikov/jaxrl | Provides JAX implementations of various reinforcement learning algorithms with continuous action spaces. | 630 |
 cleanlab/cleanlab | Automates data quality checks and model training with AI-driven methods to improve machine learning performance | 9,756 |
 cszn/kair | Image restoration toolbox with training and testing codes for various deep learning-based methods | 2,957 |
| ikostrikov/pytorch-ddpg-naf | An implementation of reinforcement learning algorithms for continuous control tasks using deep neural networks. | 307 |