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 ...
402 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 |
---|---|---|
| A comprehensive project that provides an implementation of deep reinforcement learning algorithms using PyTorch and Visdom. | 798 |
| A high-performance implementation of reinforcement learning training pipelines using JAX and PyTorch-like functionality | 755 |
| Replication of Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks in PyTorch for reinforcement learning tasks | 830 |
| A comprehensive library for building deep reinforcement learning agents using PyTorch | 647 |
| An implementation of reinforcement learning algorithms for continuous control tasks using deep neural networks. | 307 |
| A PyTorch framework for accelerating reinforcement learning research and development by providing a modular, reusable, and customizable training loop | 46 |
| A modular and unified framework for implementing common deep reinforcement learning algorithms in PyTorch | 2,236 |
| A Python implementation of a deep reinforcement learning algorithm combining multiple techniques for improved performance in Atari games | 1,591 |
| A framework for distributed reinforcement learning research with Python and PyTorch support | 38 |
| A framework for implementing complex reinforcement learning algorithms with flexibility and ease of implementation | 306 |
| A comprehensive framework for deep reinforcement learning using PyTorch. | 1,256 |
| A Python library implementing state-of-the-art deep reinforcement learning algorithms for Keras and OpenAI Gym environments. | 8 |
| A PyTorch implementation of the REINFORCE algorithm for reinforcement learning in continuous and discrete environments. | 266 |
| This project implements a PyTorch-based framework for learning discrete communication protocols in multi-agent reinforcement learning environments. | 349 |
| A collection of implementations of reinforcement learning algorithms in MATLAB | 61 |