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» An Anytime Algorithm for Decision Making under Uncertainty
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EUSFLAT
2003
115views Fuzzy Logic» more  EUSFLAT 2003»
14 years 11 months ago
A hierarchical fuzzy rule-based learning system based on an information theoretic
This paper proposes a new novel method for the online construction of a Hierarchical Fuzzy Rule Based System (FRBS) to accurately model a function while retaining a level of human...
Antony Waldock, Brian Carse, Chris Melhuish
ICRA
2008
IEEE
167views Robotics» more  ICRA 2008»
15 years 4 months ago
An approximate algorithm for solving oracular POMDPs
Abstract— We propose a new approximate algorithm, LAJIV (Lookahead J-MDP Information Value), to solve Oracular Partially Observable Markov Decision Problems (OPOMDPs), a special ...
Nicholas Armstrong-Crews, Manuela M. Veloso
AAAI
2008
15 years 7 days ago
A Variance Analysis for POMDP Policy Evaluation
Partially Observable Markov Decision Processes have been studied widely as a model for decision making under uncertainty, and a number of methods have been developed to find the s...
Mahdi Milani Fard, Joelle Pineau, Peng Sun
PKDD
2009
Springer
129views Data Mining» more  PKDD 2009»
15 years 4 months ago
Considering Unseen States as Impossible in Factored Reinforcement Learning
Abstract. The Factored Markov Decision Process (FMDP) framework is a standard representation for sequential decision problems under uncertainty where the state is represented as a ...
Olga Kozlova, Olivier Sigaud, Pierre-Henri Wuillem...
IEAAIE
2000
Springer
15 years 1 months ago
Fuzzy Modeling Approach for Integrated Assessments Using Cultural Theory
It has already been noted that the accurate prediction of societal responses requires the use of a formal model based on some social or cultural taxonomy. One such taxonomic candi...
Adnan Yazici, Frederick E. Petry, Curt Pendergraft