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: 4 Prerequisites: CSCI 4470/6470 or Permission of Department Level: Graduate
