Decentralized partially observable Markov decision processes (Dec-POMDPs) constitute a generic and expressive framework for multiagent planning under uncertainty. However, plannin...
Frans A. Oliehoek, Shimon Whiteson, Matthijs T. J....
This paper describes the results of applying a modified version of hierarchical task-network (HTN) planning to the problem of declarer play in contract bridge. We represent inform...
Stephen J. J. Smith, Dana S. Nau, Thomas A. Throop
Abstract. This paper presents an application that aims at identifying optimal locations based on partially ordered constraints. It combines a tool developed in this project that al...
This paper presents snlp+ebl, the first implementation of explanation based learning techniques for a partial order planner. We describe the basic learning framework of snlp+ebl, ...
Derivation replay was first proposed by Carbonell as a method of transferring guidancefrom a previousproblemsolving episode to a new one. Subsequent implementations have used stat...