stable-baselines3
RL algorithms
A collection of reliable implementations of reinforcement learning algorithms in PyTorch
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
9k stars
64 watching
2k forks
Language: Python
last commit: 15 days ago
Linked from 4 awesome lists
baselinesgsdegymmachine-learningopenaipythonpytorchreinforcement-learningreinforcement-learning-algorithmsroboticssb3sdestable-baselinestoolbox
Related projects:
Repository | Description | Stars |
---|---|---|
p-christ/deep-reinforcement-learning-algorithms-with-pytorch | PyTorch implementations of popular deep reinforcement learning algorithms and environments. | 5,640 |
openai/baselines | High-quality implementations of reinforcement learning algorithms for research and development purposes | 15,827 |
dgriff777/rl_a3c_pytorch | An implementation of an A3C algorithm for reinforcement learning in Pytorch, with various optimizations and extensions to accelerate training. | 562 |
ikostrikov/pytorch-a2c-ppo-acktr-gail | An open-source implementation of several reinforcement learning algorithms in PyTorch | 3,605 |
vwxyzjn/cleanrl | A single-file implementation of Deep Reinforcement Learning algorithms with research-friendly features. | 5,727 |
chingyaoc/pytorch-reinforce | A PyTorch implementation of the REINFORCE algorithm for reinforcement learning in continuous and discrete environments. | 264 |
thu-ml/tianshou | A high-performance reinforcement learning library with modular interfaces and user-friendly APIs for building deep learning agents. | 7,968 |
iffix/machin | An open-source reinforcement learning library for PyTorch, providing a simple and clear implementation of various algorithms. | 401 |
shangtongzhang/deeprl | A modularized implementation of various deep reinforcement learning algorithms in PyTorch | 3,191 |
pytorch/examples | A collection of curated examples showcasing various PyTorch applications in computer vision, natural language processing, and reinforcement learning. | 22,428 |
rlcode/reinforcement-learning | A collection of clean and minimal examples for various reinforcement learning algorithms | 3,376 |
onlytailei/a3c-pytorch | An implementation of Advantage async Actor-Critic Algorithms in PyTorch for Deep Reinforcement Learning | 114 |
tristandeleu/pytorch-maml-rl | Replication of Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks in PyTorch for reinforcement learning tasks | 827 |
devendrachaplot/deeprl-grounding | Trains an RL agent to execute natural language instructions in a 3D environment using a combination of A3C and gated attention mechanisms. | 237 |
learnables/learn2learn | A PyTorch library that accelerates meta-learning research by providing utilities and interfaces to create new algorithms and domains. | 2,665 |