Acer
PyTorch implementation of both discrete and continuous ACER
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| 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). | ||||||||||
| 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". | ||||||||||
| Deeprl Tutorials | 726 | 3 years ago | 1 | Jupyter Notebook | ||||||
| Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch | ||||||||||
| Pytorch Rl | 703 | 6 years ago | 3 | mit | Python | |||||
| Deep Reinforcement Learning with pytorch & visdom | ||||||||||
| Rl_a3c_pytorch | 535 | a year ago | 12 | apache-2.0 | Python | |||||
| A3C LSTM Atari with Pytorch plus A3G design | ||||||||||
| Pytorch Soft Actor Critic | 414 | 2 years ago | 8 | mit | Python | |||||
| PyTorch implementation of soft actor critic | ||||||||||
| Reinforcement Learning Algorithms | 407 | 3 years ago | 4 | Python | ||||||
| This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Dueling Network, DDPG, SAC, A2C, PPO, TRPO. (More algorithms are still in progress) | ||||||||||
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