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.