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Filtering by: Creator Joerger, Verena M. Committee Member Adams, Julie A.

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