| uvipen/Super-mario-bros-A3C-pytorch |
735 |
|
0 |
0 |
about 5 years ago |
0 |
|
10 |
mit |
Python |
| Asynchronous Advantage Actor-Critic (A3C) algorithm for Super Mario Bros |
| SforAiDl/genrl |
375 |
|
0 |
0 |
about 4 years ago |
4 |
March 31, 2020 |
52 |
mit |
Python |
| A PyTorch reinforcement learning library for generalizable and reproducible algorithm implementations with an aim to improve accessibility in RL |
| yandexdataschool/AgentNet |
293 |
|
0 |
0 |
over 8 years ago |
0 |
|
5 |
other |
Python |
| Deep Reinforcement Learning library for humans |
| denisyarats/pytorch_sac |
232 |
|
0 |
0 |
over 4 years ago |
0 |
|
0 |
mit |
Jupyter Notebook |
| PyTorch implementation of Soft Actor-Critic (SAC) |
| krumiaa/MindMaker |
202 |
|
0 |
0 |
almost 3 years ago |
0 |
|
21 |
|
Python |
| MindMaker UE4 Machine Learning Toolkit |
| MG2033/A2C |
159 |
|
0 |
0 |
about 7 years ago |
0 |
|
9 |
apache-2.0 |
Python |
| A Clearer and Simpler Synchronous Advantage Actor Critic (A2C) Implementation in TensorFlow |
| nikhilbarhate99/Hierarchical-Actor-Critic-HAC-PyTorch |
154 |
|
0 |
0 |
over 4 years ago |
0 |
|
0 |
mit |
Python |
| PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments |
| RchalYang/torchrl |
127 |
|
0 |
0 |
about 4 years ago |
0 |
|
2 |
|
Python |
| Pytorch Implementation of Reinforcement Learning Algorithms ( Soft Actor Critic(SAC)/ DDPG / TD3 /DQN / A2C/ PPO / TRPO) |
| jangirrishabh/Overcoming-exploration-from-demos |
117 |
|
0 |
0 |
over 4 years ago |
0 |
|
3 |
mit |
Python |
| Implementation of the paper "Overcoming Exploration in Reinforcement Learning with Demonstrations" Nair et al. over the HER baselines from OpenAI |
| createamind/DRL |
77 |
|
0 |
0 |
over 5 years ago |
0 |
|
7 |
mit |
Jupyter Notebook |
