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» Planning Over Multi-Agent Epistemic States: A Classical Plan...
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AMAI
2004
Springer
13 years 10 months ago
A Framework for Sequential Planning in Multi-Agent Settings
This paper extends the framework of partially observable Markov decision processes (POMDPs) to multi-agent settings by incorporating the notion of agent models into the state spac...
Piotr J. Gmytrasiewicz, Prashant Doshi
AIPS
2000
13 years 6 months ago
Planning with Incomplete Information as Heuristic Search in Belief Space
The formulation of planning as heuristic search with heuristics derived from problem representations has turned out to be a fruitful approach for classical planning. In this paper...
Blai Bonet, Hector Geffner
AAAI
2010
13 years 6 months ago
Probabilistic Plan Recognition Using Off-the-Shelf Classical Planners
Plan recognition is the problem of inferring the goals and plans of an agent after observing its behavior. Recently, it has been shown that this problem can be solved efficiently,...
Miquel Ramírez, Hector Geffner
CAEPIA
2005
Springer
13 years 10 months ago
Mapping Conformant Planning into SAT Through Compilation and Projection
Conformant planning is a variation of classical AI planning where the initial state is partially known and actions can have nondeterministic effects. While a classical plan must a...
Héctor Palacios, Hector Geffner
AIPS
2006
13 years 6 months ago
Planning with Temporally Extended Goals Using Heuristic Search
Temporally extended goals (TEGs) refer to properties that must hold over intermediate and/or final states of a plan. Current planners for TEGs prune the search space during planni...
Jorge A. Baier, Sheila A. McIlraith