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» Complexity of Planning with Partial Observability
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AI
2006
Springer
14 years 25 days ago
Belief Selection in Point-Based Planning Algorithms for POMDPs
Abstract. Current point-based planning algorithms for solving partially observable Markov decision processes (POMDPs) have demonstrated that a good approximation of the value funct...
Masoumeh T. Izadi, Doina Precup, Danielle Azar
ATAL
2008
Springer
13 years 11 months ago
Multi-agent plan diagnosis and negotiated repair
In the complex, dynamic domain of Air Traffic Control (ATC) many unexpected events can happen during the execution of a plan. Sometimes these disruptions make the plan infeasible ...
Huib Aldewereld, Pieter Buzing, Geert Jonker
KI
2009
Springer
14 years 3 months ago
Constraint-Based Integration of Plan Tracking and Prognosis for Autonomous Production
Today’s complex production systems allow to simultaneously build different products following individual production plans. Such plans may fail due to component faults or unfores...
Paul Maier, Martin Sachenbacher, Thomas Rühr,...
AAMAS
2000
Springer
13 years 9 months ago
Coordinating Mutually Exclusive Resources using GPGP
Hospital Patient Scheduling is an inherently distributed problem because of the way real hospitals are organized. As medical procedures have become more complex, and their associat...
Keith Decker, Jinjiang Li
ATAL
2007
Springer
14 years 3 months ago
Subjective approximate solutions for decentralized POMDPs
A problem of planning for cooperative teams under uncertainty is a crucial one in multiagent systems. Decentralized partially observable Markov decision processes (DECPOMDPs) prov...
Anton Chechetka, Katia P. Sycara