In this paper we present mental state abduction, a technique for inferring the mental states (beliefs, goals) of BDI-based agents from observations of their actions. Abduced mental...
Michal P. Sindlar, Mehdi Dastani, Frank Dignum, Jo...
A gradient-based method for both symmetric and asymmetric multiagent reinforcement learning is introduced in this paper. Symmetric multiagent reinforcement learning addresses the ...
We develop an algorithm for opponent modeling in large extensive-form games of imperfect information. It works by observing the opponent’s action frequencies and building an opp...
We present a general-purpose framework for updating a robot’s observation model within the context of planning and execution. Traditional plan execution relies on monitoring plan...
Sonia Chernova, Elisabeth Crawford, Manuela M. Vel...
Voters in a democracy have the responsibility to learn about the candidates and issues on which they are deciding. The internet offers voters unparalleled opportunities for findin...
Scott P. Robertson, Christine E. Wania, Sang Joon ...