Efficient Learning Control via Structural Policy Priors, Latent World Models and Hierarchical Abstraction
Learning control will enable the deployment of autonomous robots in unstructured real-world settings. Solving the associated complex decision processes under real-time constraints will require intuition, guiding current actions by prior experience to anticipate long-horizon environment interactions...
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Thesis |
| Published: |
Massachusetts Institute of Technology
2024
|
| Online Access: | https://hdl.handle.net/1721.1/156611 |