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» FluCaP: A Heuristic Search Planner for First-Order MDPs
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JAIR
2006
120views more  JAIR 2006»
13 years 5 months ago
FluCaP: A Heuristic Search Planner for First-Order MDPs
We present a heuristic search algorithm for solving first-order Markov Decision Processes (FOMDPs). Our approach combines first-order state abstraction that avoids evaluating stat...
Steffen Hölldobler, Eldar Karabaev, Olga Skvo...
AAAI
2006
13 years 6 months ago
Planning with First-Order 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. The problem of planning with TEGs is of renewed interest becau...
Jorge A. Baier, Sheila A. McIlraith
JAIR
2008
107views more  JAIR 2008»
13 years 5 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
JAIR
2006
157views more  JAIR 2006»
13 years 5 months ago
Decision-Theoretic Planning with non-Markovian Rewards
A decision process in which rewards depend on history rather than merely on the current state is called a decision process with non-Markovian rewards (NMRDP). In decisiontheoretic...
Sylvie Thiébaux, Charles Gretton, John K. S...