Relational Markov Decision Processes (MDP) are a useraction for stochastic planning problems since one can develop abstract solutions for them that are independent of domain size ...
Building agents for a scenario such as the RoboCup simulation league requires not only methodologies for implementing high-level complex behavior, but also the careful and efficien...
Decentralized POMDPs provide an expressive framework for sequential multi-agent decision making. Despite their high complexity, there has been significant progress in scaling up e...
As users interact with an increasing array of personal computing devices, maintaining consistency of data across those devices becomes significantly more difficult. Typical soluti...
David L. Roberts, Sooraj Bhat, Charles Lee Isbell ...
Abstract. Interleaved planning and scheduling employs the idea of extending partial plans by regularly heeding to the scheduling constraints during search. One of the techniques us...