SINDy-RL for interpretable and efficient model-based reinforcement learning
- Journal:
- Nature Communications
- Published:
- Affiliations:
- 5
- Authors:
- 5
| Institutions | Authors | Share |
|---|---|---|
| University of Washington (UW), United States of America (USA) | 0.70 | |
| Imperial College London (ICL), United Kingdom (UK) | 0.20 | |
| The Aerospace Corporation, United States of America (USA) | 0.10 |