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» Variable Selection for Optimal Decision Making
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IAT
2010
IEEE
13 years 6 months ago
Selecting Operator Queries Using Expected Myopic Gain
When its human operator cannot continuously supervise (much less teleoperate) an agent, the agent should be able to recognize its limitations and ask for help when it risks making...
Robert Cohn, Michael Maxim, Edmund H. Durfee, Sati...
ICRA
2010
IEEE
133views Robotics» more  ICRA 2010»
13 years 7 months ago
Variable resolution decomposition for robotic navigation under a POMDP framework
— Partially Observable Markov Decision Processes (POMDPs) offer a powerful mathematical framework for making optimal action choices in noisy and/or uncertain environments, in par...
Robert Kaplow, Amin Atrash, Joelle Pineau
TEC
2008
118views more  TEC 2008»
13 years 8 months ago
RM-MEDA: A Regularity Model-Based Multiobjective Estimation of Distribution Algorithm
Under mild conditions, it can be induced from the Karush-Kuhn-Tucker condition that the Pareto set, in the decision space, of a continuous multiobjective optimization problem is (m...
Qingfu Zhang, Aimin Zhou, Yaochu Jin
CRV
2009
IEEE
153views Robotics» more  CRV 2009»
14 years 3 months ago
Optimal Online Data Sampling or How to Hire the Best Secretaries
The problem of online sampling of data, can be seen as a generalization of the classical secretary problem. The goal is to maximize the probability of picking the k highest scorin...
Yogesh Girdhar, Gregory Dudek
GECCO
2007
Springer
155views Optimization» more  GECCO 2007»
14 years 2 months ago
Towards billion-bit optimization via a parallel estimation of distribution algorithm
This paper presents a highly efficient, fully parallelized implementation of the compact genetic algorithm (cGA) to solve very large scale problems with millions to billions of va...
Kumara Sastry, David E. Goldberg, Xavier Llor&agra...