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AIPS
1998
15 years 8 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
ATAL
2010
Springer
15 years 7 months ago
Planning against fictitious players in repeated normal form games
Planning how to interact against bounded memory and unbounded memory learning opponents needs different treatment. Thus far, however, work in this area has shown how to design pla...
Enrique Munoz de Cote, Nicholas R. Jennings
ENVSOFT
2008
78views more  ENVSOFT 2008»
15 years 6 months ago
A general water supply planning model: Evaluation of decentralized treatment
Increasing population, diminishing supplies and variable climatic conditions can cause difficulties in meeting water demands; especially in arid regions where water resources are ...
G. Chung, K. Lansey, P. Blowers, P. Brooks, W. Ela...
CORR
2011
Springer
219views Education» more  CORR 2011»
15 years 1 months ago
Active Markov Information-Theoretic Path Planning for Robotic Environmental Sensing
Recent research in multi-robot exploration and mapping has focused on sampling environmental fields, which are typically modeled using the Gaussian process (GP). Existing informa...
Kian Hsiang Low, John M. Dolan, Pradeep K. Khosla
ACG
2009
Springer
16 years 1 months ago
Plans, Patterns, and Move Categories Guiding a Highly Selective Search
In this paper we present our ideas for an Arimaa-playing program (also called a bot) that uses plans and pattern matching to guide a highly selective search. We restrict move gener...
Gerhard Trippen