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AAAI
1997
15 years 8 months ago
Incremental Methods for Computing Bounds in Partially Observable Markov Decision Processes
Partially observable Markov decision processes (POMDPs) allow one to model complex dynamic decision or control problems that include both action outcome uncertainty and imperfect ...
Milos Hauskrecht
ECAI
2010
Springer
15 years 8 months ago
Sound and Complete Landmarks for And/Or Graphs
Landmarks for a planning problem are subgoals that are necessarily made true at some point in the execution of any plan. Since verifying that a fact is a landmark is PSPACE-complet...
Emil Keyder, Silvia Richter, Malte Helmert
AUTOMATICA
2008
89views more  AUTOMATICA 2008»
15 years 7 months ago
Dynamic buffer management using optimal control of hybrid systems
This paper studies a general dynamic buffer management problem with one buffer inserted between two interacting components. The component to be controlled is assumed to have multi...
Wei Zhang, Jianghai Hu
219
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JAIR
2008
107views more  JAIR 2008»
15 years 6 months ago
Planning with Durative Actions in Stochastic Domains
Probabilistic planning problems are typically modeled as a Markov Decision Process (MDP). MDPs, while an otherwise expressive model, allow only for sequential, non-durative action...
Mausam, Daniel S. Weld
ADAC
2008
193views more  ADAC 2008»
15 years 7 months ago
A constrained-optimization based half-quadratic algorithm for robustly fitting sets of linearly parametrized curves
We consider the problem of multiple fitting of linearly parametrized curves, that arises in many computer vision problems such as road scene analysis. Data extracted from images us...
Jean-Philippe Tarel, Sio-Song Ieng, Pierre Charbon...