Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
awesome-metarl
A curated list of awesome Meta Reinforcement Learning
https://github.com/metarl/awesome-metarl
- [arXiv - RL)
- [arXiv
- [arXiv
- [arXiv - based meta-RL)
- [arXiv - based meta-RL)
- [arXiv - based meta-RL, exploration with latent variables)
- [arXiv - policy meta-RL with posterior sampling for exploration)
- [arXiv
- [arXiv
- [arXiv
- [arXiv
- [arXiv - maml) Algorithm: E-MAML & E-RL2. (treat the adaptation step as part of the unknown dynamics of environment)
- [arXiv
- [arXiv
- [arXiv - learning-rl)
- [arXiv
- [arXiv
- [arXiv
- [arXiv
- [arXiv
- [arXiv
- [arXiv - research/google-research/tree/master/norml) Algorithm: NoRML. (MAML + environment dynamics)
- [arXiv
- [arXiv
- [arXiv
- [arXiv - research/tensor2robot/tree/master/research/vrgripper) (demonstrateion + trial-and-error)
- [arXiv
- [arXiv - Fit. (maximize entropy)
- [arXiv
- [arXiv
- Stanford CS330: Multi-Task and Meta-Learning
- Meta Reinforcement Learning
- Meta Reinforcement Learning
- MetaWorld
- Gym (Mojocu/Atari/...)
Programming Languages