| 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". |
| 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 |
| lcswillems/rl-starter-files |
571 |
|
0 |
0 |
over 2 years ago |
0 |
|
9 |
mit |
Python |
| RL starter files in order to immediatly train, visualize and evaluate an agent without writing any line of code |
| dgriff777/rl_a3c_pytorch |
535 |
|
0 |
0 |
almost 3 years ago |
0 |
|
12 |
apache-2.0 |
Python |
| A3C LSTM Atari with Pytorch plus A3G design |
| MorvanZhou/pytorch-A3C |
289 |
|
0 |
0 |
about 6 years ago |
0 |
|
6 |
mit |
Python |
| Simple A3C implementation with pytorch + multiprocessing |
| dgriff777/a3c_continuous |
248 |
|
0 |
0 |
almost 3 years ago |
0 |
|
2 |
apache-2.0 |
Python |
| A continuous action space version of A3C LSTM in pytorch plus A3G design |
