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
66 watching
2k forks
Language: Python
last commit: 3 months ago
Linked from 4 awesome lists
baselinesgsdegymmachine-learningopenaipythonpytorchreinforcement-learningreinforcement-learning-algorithmsroboticssb3sdestable-baselinestoolbox
Related projects:
Repository | Description | Stars |
---|---|---|
| PyTorch implementations of popular deep reinforcement learning algorithms and environments. | 5,669 |
| High-quality implementations of reinforcement learning algorithms for research and development purposes | 15,885 |
| An implementation of an A3C algorithm for reinforcement learning in Pytorch, with various optimizations and extensions to accelerate training. | 562 |
| An open-source implementation of several reinforcement learning algorithms in PyTorch | 3,644 |
| A single-file implementation of Deep Reinforcement Learning algorithms with research-friendly features. | 5,891 |
| A PyTorch implementation of the REINFORCE algorithm for reinforcement learning in continuous and discrete environments. | 266 |
| A high-performance reinforcement learning library with modular interfaces and user-friendly APIs for building deep learning agents. | 8,069 |
| An open-source reinforcement learning library for PyTorch, providing a simple and clear implementation of various algorithms. | 402 |
| A modularized implementation of various deep reinforcement learning algorithms in PyTorch | 3,209 |
| A collection of curated examples showcasing various PyTorch applications in computer vision, natural language processing, and reinforcement learning. | 22,530 |
| A collection of clean and minimal examples for various reinforcement learning algorithms | 3,433 |
| An implementation of Advantage async Actor-Critic Algorithms in PyTorch for Deep Reinforcement Learning | 114 |
| Replication of Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks in PyTorch for reinforcement learning tasks | 830 |
| Trains an RL agent to execute natural language instructions in a 3D environment using a combination of A3C and gated attention mechanisms. | 237 |
| A PyTorch library that accelerates meta-learning research by providing utilities and interfaces to create new algorithms and domains. | 2,684 |