machin
RL framework
An open-source reinforcement learning library for PyTorch, providing a simple and clear implementation of various algorithms.
Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...
401 stars
4 watching
51 forks
Language: Python
last commit: over 3 years ago
Linked from 1 awesome list
a3c-pytorchddpgdeep-learningdistributeddqnppoprioritized-experience-replaypythonpytorchpytorch-lightningpytorch-reinforcement-learningreinforcement-learningsactd3
Related projects:
Repository | Description | Stars |
---|---|---|
jingweiz/pytorch-rl | A comprehensive project that provides an implementation of deep reinforcement learning algorithms using PyTorch and Visdom. | 797 |
luchris429/purejaxrl | A high-performance implementation of reinforcement learning training pipelines using JAX and PyTorch-like functionality | 722 |
tristandeleu/pytorch-maml-rl | Replication of Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks in PyTorch for reinforcement learning tasks | 827 |
cpnota/autonomous-learning-library | A comprehensive library for building deep reinforcement learning agents using PyTorch | 646 |
ikostrikov/pytorch-ddpg-naf | An implementation of reinforcement learning algorithms for continuous control tasks using deep neural networks. | 307 |
catalyst-team/catalyst-rl | A PyTorch framework for accelerating reinforcement learning research and development by providing a modular, reusable, and customizable training loop | 46 |
astooke/rlpyt | A modular and unified framework for implementing common deep reinforcement learning algorithms in PyTorch | 2,232 |
kaixhin/rainbow | A Python implementation of a deep reinforcement learning algorithm combining multiple techniques for improved performance in Atari games | 1,585 |
scitator/catalyst-rl-framework | A framework for distributed reinforcement learning research with Python and PyTorch support | 38 |
horizonrobotics/alf | A reinforcement learning framework designed to implement complex algorithms with flexibility and ease of use | 302 |
kengz/slm-lab | A comprehensive framework for deep reinforcement learning using PyTorch. | 1,256 |
matthiasplappert/keras-rl | A Python library implementing state-of-the-art deep reinforcement learning algorithms for Keras and OpenAI Gym environments. | 7 |
chingyaoc/pytorch-reinforce | A PyTorch implementation of the REINFORCE algorithm for reinforcement learning in continuous and discrete environments. | 264 |
minqi/learning-to-communicate-pytorch | This project implements a PyTorch-based framework for learning discrete communication protocols in multi-agent reinforcement learning environments. | 346 |
kunqian2025/reinforcement-learning | A collection of implementations of reinforcement learning algorithms in MATLAB | 60 |