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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Tianshou | 7,125 | 10 | a year ago | 33 | August 22, 2023 | 97 | mit | Python | ||
An elegant PyTorch deep reinforcement learning library. | ||||||||||
Deep Reinforcement Learning | 4,635 | a year ago | 5 | mit | Jupyter Notebook | |||||
Repo for the Deep Reinforcement Learning Nanodegree program | ||||||||||
Cleanrl | 3,947 | a year ago | 49 | other | Python | |||||
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG) | ||||||||||
Elegantrl | 3,698 | 2 | 3 months ago | 5 | January 08, 2022 | 107 | other | Python | ||
Massively Parallel Deep Reinforcement Learning. 🔥 | ||||||||||
Pytorch A2c Ppo Acktr Gail | 3,623 | 3 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). | ||||||||||
Deep_reinforcement_learning_course | 3,581 | 2 years ago | 46 | Jupyter Notebook | ||||||
Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch | ||||||||||
Deeprl | 2,834 | 2 years ago | 5 | mit | Python | |||||
Modularized Implementation of Deep RL Algorithms in PyTorch | ||||||||||
Deep Reinforcement Learning With Pytorch | 2,741 | 2 years ago | 26 | mit | Python | |||||
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and .... | ||||||||||
Minimalrl | 2,417 | 2 years ago | 21 | mit | Python | |||||
Implementations of basic RL algorithms with minimal lines of codes! (pytorch based) | ||||||||||
Rl Baselines3 Zoo | 1,640 | 2 | a year ago | 18 | November 17, 2023 | 54 | mit | Python | ||
A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included. |