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SARA
2007
Springer
13 years 10 months ago
Computing and Using Lower and Upper Bounds for Action Elimination in MDP Planning
Abstract. We describe a way to improve the performance of MDP planners by modifying them to use lower and upper bounds to eliminate non-optimal actions during their search. First, ...
Ugur Kuter, Jiaqiao Hu
DAGSTUHL
2006
13 years 6 months ago
Upper and Lower Bounds on Sizes of Finite Bisimulations of Pfaffian Dynamical Systems
In this paper we study a class of dynamical systems defined by Pfaffian maps. It is a sub-class of o-minimal dynamical systems which capture rich continuous dynamics and yet can be...
Margarita V. Korovina, Nicolai Vorobjov
JAIR
2008
107views more  JAIR 2008»
13 years 4 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
CP
2005
Springer
13 years 10 months ago
Search and Inference in AI Planning
While Planning has been a key area in Artificial Intelligence since its beginnings, significant changes have occurred in the last decade as a result of new ideas and a more estab...
Hector Geffner
UAI
2004
13 years 5 months ago
Discretized Approximations for POMDP with Average Cost
In this paper, we propose a new lower approximation scheme for POMDP with discounted and average cost criterion. The approximating functions are determined by their values at a fi...
Huizhen Yu, Dimitri P. Bertsekas