Approximating Behavioral Equivalence of Models Using Top-K Policy Paths
Yifeng Zeng, Yingke Chen, Prashant Doshi · 2013
Decision making and game play in multiagent settings must often contend with behavioral models of other agents in order to predict their actions. One approach that reduces the complexity of the unconstrained model space is to group models that tend to be behaviorally equivalent. In this paper, we seek to further compress the model space by introducing an approximate measure of behavioral equivalence and using it to group models. Categories and Subject Descriptors I.2.11 [Distributed Artificial Intelligence]: Multiagent systems