Partially Observable Markov Decision Processes (POMDPs) have succeeded in planning domains that require balancing actions that increase an agent's knowledge and actions that ...
Probabilistic relational models are an efficient way to learn and represent the dynamics in realistic environments consisting of many objects. Autonomous intelligent agents that gr...
We consider the problem of cooperative multiagent planning under uncertainty, formalized as a decentralized partially observable Markov decision process (Dec-POMDP). Unfortunately...
Matthijs T. J. Spaan, Frans A. Oliehoek, Nikos A. ...
We claim that automatic multimedia presentation can be modeled by integrating two complementary approaches to automatic design: hierarchical planning to achieve communicative goal...
Stephan M. Kerpedjiev, Giuseppe Carenini, Steven F...
Collaboration among organizations or individuals is common. While these participants are often unwilling to share all their information with each other, some information sharing i...