Solving relaxed problems is a commonly used technique in heuristic search to derive heuristic estimates. In heuristic planning, this is usually done by expanding a planning (reach...
Raquel Fuentetaja, Daniel Borrajo, Carlos Linares ...
Distributed Partially Observable Markov Decision Problems (Distributed POMDPs) are evolving as a popular approach for modeling multiagent systems, and many different algorithms ha...
In this paper we propose a suite of techniques for planning with temporally extended preferences (TEPs). To this end, we propose a method for compiling TEP planning problems into ...
Jorge A. Baier, Fahiem Bacchus, Sheila A. McIlrait...
The development of informative, admissible heuristics for cost-optimal planning remains a significant challenge in domain-independent planning research. Two techniques are commonl...
Abstract. One of the most successful approaches in automated planning is to use heuristic state-space search. A popular heuristic that is used by a number of state-space planners i...
Menkes van den Briel, J. Benton, Subbarao Kambhamp...