| openai/baselines |
14,949 |
|
37 |
2 |
over 2 years ago |
6 |
February 26, 2018 |
497 |
mit |
Python |
| OpenAI Baselines: high-quality implementations of reinforcement learning algorithms |
| thu-ml/tianshou |
7,125 |
|
0 |
10 |
about 2 years ago |
33 |
August 22, 2023 |
97 |
mit |
Python |
| An elegant PyTorch deep reinforcement learning library. |
| p-christ/Deep-Reinforcement-Learning-Algorithms-with-PyTorch |
5,058 |
|
0 |
0 |
over 2 years ago |
0 |
|
43 |
mit |
Python |
| PyTorch implementations of deep reinforcement learning algorithms and environments |
| ljpzzz/machinelearning |
4,030 |
|
0 |
0 |
almost 7 years ago |
0 |
|
4 |
mit |
Jupyter Notebook |
| My blogs and code for machine learning. http://cnblogs.com/pinard |
| vwxyzjn/cleanrl |
3,947 |
|
0 |
0 |
about 2 years ago |
0 |
|
49 |
other |
Python |
| High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG) |
| 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) |
| geek-ai/MAgent |
1,502 |
|
0 |
0 |
over 3 years ago |
0 |
|
30 |
mit |
Python |
| A Platform for Many-agent Reinforcement Learning |
| CharlesPikachu/AIGames |
484 |
|
0 |
0 |
about 4 years ago |
0 |
|
1 |
mit |
Python |
| use AI to play some games. |
| medipixel/rl_algorithms |
470 |
|
0 |
0 |
about 3 years ago |
0 |
|
15 |
mit |
Python |
| Structural implementation of RL key algorithms |