| AgileRL/AgileRL |
457 |
|
0 |
0 |
about 2 years ago |
0 |
|
0 |
apache-2.0 |
Python |
| Streamlining reinforcement learning with RLOps |
| Alro10/awesome-deep-neuroevolution |
111 |
|
0 |
0 |
over 5 years ago |
0 |
|
1 |
apache-2.0 |
|
| A collection of Deep Neuroevolution resources or evolutionary algorithms applying in Deep Learning (constantly updating) |
| sshkhr/Practical_RL |
24 |
|
0 |
0 |
almost 8 years ago |
0 |
|
0 |
unlicense |
Jupyter Notebook |
| My solutions to Yandex Practical Reinforcement Learning course in PyTorch and Tensorflow |
| GMC-DRL/MetaBox |
18 |
|
0 |
0 |
over 2 years ago |
0 |
|
0 |
bsd-3-clause |
Python |
| MetaBox: A Benchmark Platform for Meta-Black-Box Optimization with Reinforcement Learning (https://arxiv.org/abs/2310.08252) |
| ksluck/Coadaptation |
14 |
|
0 |
0 |
over 3 years ago |
0 |
|
1 |
mit |
Python |
| Repository replicating the design- and behaviour-adaptation algorithm using reinforcement learning algorithm presented in the paper " Data-efficient Co-Adaptation of Morphology and Behaviour with Deep Reinforcement Learning" |
| danakianfar/multi_agent_systems |
10 |
|
0 |
0 |
over 8 years ago |
0 |
|
0 |
mit |
Jupyter Notebook |
| Multi-Agent Systems Course 2017 - MSc Artificial Intelligence @ UvA |