Project Details
Description
To achieve our aim, in this project, we will integrate skill learning and sequential decision-making under uncertainty. We will consider the following simplified problem. Suppose a robot is given a task to accomplish and a set of trajectory data, where the trajectories are execution traces of the robot performing an optimal policy to accomplish a variety of simpler tasks that are related to the given task.
| Status | Active |
|---|---|
| Effective start/end date | 8/10/25 → 30/10/27 |
Fingerprint
Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.