Decision-Theoretic Planning in Multiagent Settings with Application to Behavioral Modeling
Prashant Doshi, Xia Qu and Adam Goodie, University of Georgia, Athens, GA, USA
Optimal planning in environments shared with other interacting agents often involves recognizing the intent of others and their plans. This is because others’ actions may impact the state of the environment and, consequently, the efficacy of the agent’s plan. Planning becomes further complicated in the presence of uncertainty, which may manifest due to the state being partially observable, nondeterminism in how the dynamic state changes, and imperfect sensors. A framework for decision–theoretic planning in this space is the interactive partially observable ...