Representing agent policies compactly is essential for improving the scalability of multi-agent planning algorithms. In this paper, we focus on developing a pruning technique that...
Recent research in decision theoretic planning has focussedon making the solution of Markov decision processes (MDPs) more feasible. We develop a family of algorithms for structur...
Craig Boutilier, Ronen I. Brafman, Christopher W. ...
abstraction heuristics, notably pattern-database and merge-and-shrink heuristics, are employed by some state-ofthe-art optimal heuristic-search planners. The major limitation of t...
Abstract. Navigation meshes are commonly employed as a practical representation for path planning and other navigation queries in animated virtual environments and computer games. ...
Radio-frequency (RF) ablation is a minimal invasive thermal therapy, currently considered as an alternative to surgery to eradicate small solid kidney tumors. Our aim is to underst...
Mihaela Pop, Sean R. H. Davidson, Mark Gertner, Mi...