Approximate linear programming (ALP) offers a promising framework for solving large factored Markov decision processes (MDPs) with both discrete and continuous states. Successful ...
Constraint programming uses enumeration and search tree pruning to solve combinatorial optimization problems. In order to speed up this solution process, we investigate the use of...
Abstract. Existing constraint programming systems offer a fixed set of inference engines implementing search strategies such as single, all, and best solution search. This is unfo...
Abstract. One of the most appealing features of constraint programming is its rich constraint language for expressing combinatorial optimization problems. This paper demonstrates t...
Many search problems contain large amounts of redundancy in the search. In this paper we examine how to automatically exploit remaining subproblem equivalence, which arises when tw...
Geoffrey Chu, Maria Garcia de la Banda, Peter J. S...