Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
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Pytorch A2c Ppo Acktr Gail | 3,450 | 2 years ago | 82 | mit | Python | |||||
PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL). | ||||||||||
Softlearning | 1,108 | 5 months ago | 53 | other | Python | |||||
Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official implementation of the Soft Actor-Critic algorithm. | ||||||||||
Mushroom Rl | 765 | 4 | 2 months ago | 20 | October 30, 2023 | 5 | mit | Python | ||
Python library for Reinforcement Learning. | ||||||||||
Deep_rl | 372 | 3 years ago | 1 | mit | Python | |||||
PyTorch implementations of deep reinforcement learning algorithms | ||||||||||
Drq | 369 | a year ago | 2 | mit | Jupyter Notebook | |||||
DrQ: Data regularized Q | ||||||||||
Lagom | 365 | 4 years ago | 5 | mit | Jupyter Notebook | |||||
lagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms. | ||||||||||
Pytorch Rl | 356 | 5 years ago | 2 | August 20, 2018 | 3 | Python | ||||
This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch | ||||||||||
Reward Learning Rl | 348 | a year ago | 26 | other | Python | |||||
[RSS 2019] End-to-End Robotic Reinforcement Learning without Reward Engineering | ||||||||||
Planet | 268 | 3 years ago | 2 | mit | Python | |||||
Deep Planning Network: Control from pixels by latent planning with learned dynamics | ||||||||||
Pytorch Trpo | 252 | 6 years ago | 4 | mit | Python | |||||
PyTorch implementation of Trust Region Policy Optimization |