| tensorlayer/TensorLayer |
7,269 |
|
34 |
6 |
about 3 years ago |
84 |
February 15, 2022 |
30 |
other |
Python |
| Deep Learning and Reinforcement Learning Library for Scientists and Engineers |
| rlcode/reinforcement-learning |
3,119 |
|
0 |
0 |
about 3 years ago |
0 |
|
35 |
mit |
Python |
| Minimal and Clean Reinforcement Learning Examples |
| sweetice/Deep-reinforcement-learning-with-pytorch |
2,741 |
|
0 |
0 |
about 3 years ago |
0 |
|
26 |
mit |
Python |
| PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and .... |
| seungeunrho/minimalRL |
2,417 |
|
0 |
0 |
almost 3 years ago |
0 |
|
21 |
mit |
Python |
| Implementations of basic RL algorithms with minimal lines of codes! (pytorch based) |
| kengz/SLM-Lab |
1,052 |
|
0 |
0 |
almost 4 years ago |
0 |
|
7 |
mit |
Python |
| Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning". |
| pfnet/pfrl |
1,046 |
|
0 |
0 |
over 2 years ago |
0 |
|
32 |
mit |
Python |
| PFRL: a PyTorch-based deep reinforcement learning library |
| ikostrikov/pytorch-a3c |
768 |
|
0 |
0 |
over 6 years ago |
0 |
|
17 |
mit |
Python |
| PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning". |
| 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 |
| jingweiz/pytorch-rl |
703 |
|
0 |
0 |
about 8 years ago |
0 |
|
3 |
mit |
Python |
| Deep Reinforcement Learning with pytorch & visdom |
| miyosuda/async_deep_reinforce |
560 |
|
0 |
0 |
over 7 years ago |
0 |
|
34 |
apache-2.0 |
Python |
| Asynchronous Methods for Deep Reinforcement Learning |
