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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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 .... | ||||||||||
Pytorch A3c | 768 | 5 years ago | 17 | mit | Python | |||||
PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning". | ||||||||||
Rlgraph | 241 | 5 years ago | 23 | apache-2.0 | Python | |||||
RLgraph: Modular computation graphs for deep reinforcement learning | ||||||||||
Deep Reinforcement Learning Algorithms | 235 | 3 years ago | Jupyter Notebook | |||||||
32 projects in the framework of Deep Reinforcement Learning algorithms: Q-learning, DQN, PPO, DDPG, TD3, SAC, A2C and others. Each project is provided with a detailed training log. | ||||||||||
Torch Ac | 134 | 2 years ago | 5 | mit | Python | |||||
Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO | ||||||||||
Torchrl | 127 | 2 years ago | 2 | Python | ||||||
Pytorch Implementation of Reinforcement Learning Algorithms ( Soft Actor Critic(SAC)/ DDPG / TD3 /DQN / A2C/ PPO / TRPO) | ||||||||||
Samsung Drl Code | 105 | 3 years ago | mit | Python | ||||||
A repository for implementations of deep reinforcement learning lectured at Samsung | ||||||||||
Simple A2c Ppo | 84 | 4 years ago | 2 | Jupyter Notebook | ||||||
Actor-critic trained w PPO on OpenAI's Procgen Benchmark (PyTorch). Built from scratch. | ||||||||||
Auto Drac | 59 | 3 years ago | mit | Python | ||||||
Automatic Data-Regularized Actor-Critic (Auto-DrAC) |