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» Hierarchical Heuristic Forward Search in Stochastic Domains
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JAIR
2008
130views more  JAIR 2008»
13 years 5 months ago
Online Planning Algorithms for POMDPs
Partially Observable Markov Decision Processes (POMDPs) provide a rich framework for sequential decision-making under uncertainty in stochastic domains. However, solving a POMDP i...
Stéphane Ross, Joelle Pineau, Sébast...
AAAI
1998
13 years 6 months ago
Using Caching to Solve Larger Probabilistic Planning Problems
Probabilistic planning algorithms seek e ective plans for large, stochastic domains. maxplan is a recently developed algorithm that converts a planning problem into an E-Majsat pr...
Stephen M. Majercik, Michael L. Littman
AAAI
2008
13 years 7 months ago
Probabilistic Planning via Determinization in Hindsight
This paper investigates hindsight optimization as an approach for leveraging the significant advances in deterministic planning for action selection in probabilistic domains. Hind...
Sung Wook Yoon, Alan Fern, Robert Givan, Subbarao ...
GECCO
2006
Springer
192views Optimization» more  GECCO 2006»
13 years 9 months ago
Optimising cancer chemotherapy using an estimation of distribution algorithm and genetic algorithms
This paper presents a methodology for using heuristic search methods to optimise cancer chemotherapy. Specifically, two evolutionary algorithms - Population Based Incremental Lear...
Andrei Petrovski, Siddhartha Shakya, John A. W. Mc...
IJCAI
2003
13 years 6 months ago
In Defense of PDDL Axioms
There is controversy as to whether explicit support for PDDL-like axioms and derived predicates is needed for planners to handle real-world domains effectively. Many researchers h...
Sylvie Thiébaux, Jörg Hoffmann, Bernha...