| werner-duvaud/muzero-general |
2,203 |
|
0 |
0 |
over 2 years ago |
0 |
|
54 |
mit |
Python |
| MuZero |
| tigerneil/awesome-deep-rl |
1,225 |
|
0 |
0 |
about 3 years ago |
0 |
|
0 |
mit |
HTML |
| For deep RL and the future of AI. |
| microsoft/TextWorld |
1,122 |
|
1 |
1 |
about 2 years ago |
43 |
November 30, 2023 |
12 |
other |
Jupyter Notebook |
| TextWorld is a sandbox learning environment for the training and evaluation of reinforcement learning (RL) agents on text-based games. |
| oxwhirl/smac |
881 |
|
0 |
0 |
over 2 years ago |
0 |
|
12 |
mit |
Python |
| SMAC: The StarCraft Multi-Agent Challenge |
| Denys88/rl_games |
603 |
|
0 |
1 |
over 2 years ago |
15 |
September 28, 2023 |
25 |
mit |
Jupyter Notebook |
| RL implementations |
| kingyuluk/FlappyBird |
555 |
|
0 |
0 |
over 3 years ago |
0 |
|
2 |
mit |
Java |
| 基于Java基础类库编写的Flappy Bird |
| maurock/snake-ga |
360 |
|
0 |
0 |
over 4 years ago |
0 |
|
9 |
|
Python |
| AI Agent that learns how to play Snake with Deep Q-Learning |
| bakkesmodorg/BakkesModSDK |
198 |
|
0 |
0 |
over 2 years ago |
0 |
|
20 |
|
C++ |
| The current BakkesModSDK (Unofficial SDK for Rocket League) |
| minqi/learning-to-communicate-pytorch |
187 |
|
0 |
0 |
about 7 years ago |
0 |
|
0 |
apache-2.0 |
Python |
| Learning to Communicate with Deep Multi-Agent Reinforcement Learning in PyTorch |
| gsurma/atari |
185 |
|
0 |
0 |
almost 5 years ago |
0 |
|
9 |
mit |
Python |
| AI research environment for the Atari 2600 games 🤖. |
