In the minimum entropy set cover problem, one is given a collection of k sets which collectively cover an n-element ground set. A feasible solution of the problem is a partition o...
Approximate Linear Programming (ALP) is a reinforcement learning technique with nice theoretical properties, but it often performs poorly in practice. We identify some reasons for...
The creation of parameter study suites has recently become a more challenging problem as the parameter studies have become multi-tiered and the computational environment has becom...
Maurice Yarrow, Karen M. McCann, Rupak Biswas, Rob...
s planners work at a higher abstraction level while it performs low-level, often-repetitive tasks. It also helps them produce a plan rapidly, explore alternative solutions, and cho...
Amedeo Cesta, Gabriella Cortellessa, Michel Denis,...
Decentralized planning in uncertain environments is a complex task generally dealt with by using a decision-theoretic approach, mainly through the framework of Decentralized Parti...