Efficient Planning under Uncertainty with Macro-actions
Deciding how to act in partially observable environments remains an active area of research. Identifying good sequences of decisions is particularly challenging when good control performance requires planning multiple steps into the future in domains with many states. Towards addressing this chal...
| Main Authors: | , , |
|---|---|
| Other Authors: | |
| Format: | Article |
| Language: | en_US |
| Published: |
AI Access Foundation
2011
|
| Online Access: | http://hdl.handle.net/1721.1/64741 https://orcid.org/0000-0002-8293-0492 |