Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
---|---|---|---|---|---|---|---|---|---|---|
Easy Rl | 7,643 | 3 months ago | 47 | other | Jupyter Notebook | |||||
强化学习中文教程(蘑菇书),在线阅读地址:https://datawhalechina.github.io/easy-rl/ | ||||||||||
Deep Reinforcement Learning | 4,635 | 5 months ago | 5 | mit | Jupyter Notebook | |||||
Repo for the Deep Reinforcement Learning Nanodegree program | ||||||||||
Reinforcement Learning | 4,097 | 4 years ago | 2 | mit | Jupyter Notebook | |||||
Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning | ||||||||||
Cleanrl | 3,947 | 3 months 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) | ||||||||||
Deep_reinforcement_learning_course | 3,581 | a year ago | 46 | Jupyter Notebook | ||||||
Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch | ||||||||||
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). | ||||||||||
Deeprl | 2,834 | 2 years ago | 5 | mit | Python | |||||
Modularized Implementation of Deep RL Algorithms in PyTorch | ||||||||||
Deep Reinforcement Learning With Pytorch | 2,741 | a year ago | 26 | mit | Python | |||||
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and .... | ||||||||||
Minimalrl | 2,417 | a year ago | 21 | mit | Python | |||||
Implementations of basic RL algorithms with minimal lines of codes! (pytorch based) | ||||||||||
Finrl Trading | 1,858 | 3 months ago | 43 | mit | Jupyter Notebook | |||||
For trading. Please star. |