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CSCI 8920

Decision Making Under Uncertainty

Choosing optimally among different lines of actions is a key aspect of autonomy in artificial agents. The process by which an agent arrives at this choice is complex, particularly in environments that are noisy and/or shared with other agents. This course will focus on how to make optimal and approximately optimal decisions in multiagent settings. It will be self-contained, introducing relevant background literature such as aspects of probability and game theories.

Not offered on a regular basis.

Credit Hours:
CSCI 4470/6470 or Permission of Department

Instructors of this Course

Professor of Computer Science

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