Index Catalog // ScholarsArchive@OSU

Start Over

Filtering by: Contributor advisor sim Tumer, Kagan Date issued sim 2021-12-16

Providing Informative Feedback for Learning in Tightly Coupled Multiagent Domains

Creator:

Rockefeller, Golden C.

Abstract:

Autonomous agents that sense, decide, act, and coordinate effectively with each other are critical in many real-world domains such as autonomous driving, search and rescue missions, air traffic management, and underwater or deep space exploration. All such domains share a key difficulty: though high-level mission goals are clear to system...

Resource Type:

Dissertation