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» One-Counter Markov Decision Processes
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UAI
2000
15 years 2 months ago
Approximately Optimal Monitoring of Plan Preconditions
Monitoring plan preconditions can allow for replanning when a precondition fails, generally far in advance of the point in the plan where the precondition is relevant. However, mo...
Craig Boutilier
CDC
2009
IEEE
134views Control Systems» more  CDC 2009»
15 years 5 months ago
Event-based control using quadratic approximate value functions
Abstract— In this paper we consider several problems involving control with limited actuation and sampling rates. Event-based control has emerged as an attractive approach for ad...
Randy Cogill
AIPS
1998
15 years 2 months ago
Solving Stochastic Planning Problems with Large State and Action Spaces
Planning methods for deterministic planning problems traditionally exploit factored representations to encode the dynamics of problems in terms of a set of parameters, e.g., the l...
Thomas Dean, Robert Givan, Kee-Eung Kim
114
Voted
AIPS
2009
15 years 1 months ago
Efficient Solutions to Factored MDPs with Imprecise Transition Probabilities
When modeling real-world decision-theoretic planning problems in the Markov decision process (MDP) framework, it is often impossible to obtain a completely accurate estimate of tr...
Karina Valdivia Delgado, Scott Sanner, Leliane Nun...
94
Voted
CDC
2008
IEEE
118views Control Systems» more  CDC 2008»
15 years 7 months ago
A density projection approach to dimension reduction for continuous-state POMDPs
Abstract— Research on numerical solution methods for partially observable Markov decision processes (POMDPs) has primarily focused on discrete-state models, and these algorithms ...
Enlu Zhou, Michael C. Fu, Steven I. Marcus