| 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 |
| IntelLabs/coach |
2,290 |
|
1 |
1 |
over 3 years ago |
13 |
October 10, 2019 |
90 |
apache-2.0 |
Python |
| Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms |
| inoryy/reaver |
516 |
|
0 |
0 |
over 5 years ago |
14 |
February 20, 2019 |
10 |
mit |
Python |
| Reaver: Modular Deep Reinforcement Learning Framework. Focused on StarCraft II. Supports Gym, Atari, and MuJoCo. |
| pat-coady/trpo |
315 |
|
0 |
0 |
almost 6 years ago |
0 |
|
4 |
mit |
Jupyter Notebook |
| Trust Region Policy Optimization with TensorFlow and OpenAI Gym |
| RITCHIEHuang/DeepRL_Algorithms |
112 |
|
0 |
0 |
almost 5 years ago |
0 |
|
1 |
gpl-3.0 |
Python |
| DeepRL algorithms implementation easy for understanding and reading with Pytorch and Tensorflow 2(DQN, REINFORCE, VPG, A2C, TRPO, PPO, DDPG, TD3, SAC) |
| facebookresearch/slbo |
81 |
|
0 |
0 |
over 6 years ago |
0 |
|
5 |
other |
Python |
| Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees |
| JacopoPan/a-minimalist-guide |
39 |
|
0 |
0 |
about 4 years ago |
0 |
|
0 |
|
C++ |
| Walkthroughs for DSL, AirSim, the Vector Institute, and more |
| ogroth/shapestacks |
38 |
|
0 |
0 |
almost 4 years ago |
0 |
|
6 |
gpl-3.0 |
Python |
| Tensorflow models and simulation code for 'ShapeStacks: Learning Vision-Based Physical Intuition for Generalised Object Stacking' |
| jsikyoon/programmable-agents_tensorflow |
38 |
|
0 |
0 |
over 8 years ago |
0 |
|
2 |
mit |
Python |
| Tensorflow Implementation of Programmable Agents |
| eric-heiden/deep-rl-docker |
32 |
|
0 |
0 |
almost 7 years ago |
0 |
|
1 |
mit |
Dockerfile |
| Docker image with OpenAI Gym, Baselines, MuJoCo and Roboschool, utilizing TensorFlow and JupyterLab. |
