| 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) |
| 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 |
| awjuliani/Meta-RL |
332 |
|
0 |
0 |
about 9 years ago |
0 |
|
3 |
mit |
Jupyter Notebook |
| Implementation of Meta-RL A3C algorithm |
| iffiX/machin |
206 |
|
0 |
0 |
over 4 years ago |
7 |
June 23, 2021 |
0 |
mit |
Python |
| Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ... |
| lcswillems/torch-ac |
134 |
|
0 |
0 |
over 3 years ago |
0 |
|
5 |
mit |
Python |
| Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO |
| Anjum48/rl-examples |
88 |
|
0 |
0 |
over 5 years ago |
0 |
|
0 |
mit |
Python |
| Examples of published reinforcement learning algorithms in recent literature implemented in TensorFlow |
| deeplearninc/relaax |
58 |
|
0 |
0 |
about 8 years ago |
0 |
|
31 |
other |
Python |
| Reinforcement Learning framework to facilitate development and use of scalable RL algorithms and applications |
| SuReLI/Deep-RL-agents |
28 |
|
0 |
0 |
over 6 years ago |
0 |
|
1 |
mit |
Python |
| wshuail/reinforcement_learning_with_Tensorflow |
25 |
|
0 |
0 |
over 8 years ago |
0 |
|
0 |
|
Python |
| Minimal implementations of reinforcement learning algorithms by Tensorflow |
