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AAAI
2010
13 years 11 months ago
Searching Without a Heuristic: Efficient Use of Abstraction
g Without a Heuristic: Efficient Use of Abstraction Bradford Larsen, Ethan Burns, Wheeler Ruml Department of Computer Science University of New Hampshire Durham, NH 03824 USA blars...
Bradford John Larsen, Ethan Burns, Wheeler Ruml, R...
ICML
2004
IEEE
14 years 10 months ago
Using relative novelty to identify useful temporal abstractions in reinforcement learning
lative Novelty to Identify Useful Temporal Abstractions in Reinforcement Learning ?Ozg?ur S?im?sek ozgur@cs.umass.edu Andrew G. Barto barto@cs.umass.edu Department of Computer Scie...
Özgür Simsek, Andrew G. Barto
SAS
2009
Springer
119views Formal Methods» more  SAS 2009»
14 years 10 months ago
Abstraction Refinement for Quantified Array Assertions
ion Refinement for Quantified Array Assertions Mohamed Nassim Seghir1, , Andreas Podelski1 , and Thomas Wies1,2 1 University of Freiburg, Germany 2 EPFL, Switzerland Abstract. We p...
Mohamed Nassim Seghir, Andreas Podelski, Thomas Wi...
FM
2009
Springer
98views Formal Methods» more  FM 2009»
14 years 4 months ago
Recursive Abstractions for Parameterized Systems
e Abstractions for Parameterized Systems JOXAN JAFFAR and ANDREW E. SANTOSA Department of Computer Science, National University of Singapore Singapore 117590 {joxan,andrews}comp.nu...
Joxan Jaffar, Andrew E. Santosa
ACRI
2006
Springer
14 years 3 months ago
Modeling Crowd Behavior Based on Social Comparison Theory: Extended Abstract
on Theory: Extended Abstract Natalie Fridman and Gal Kaminka Bar Ilan University, Israel The MAVERICK Group Computer Science Department {fridman,galk}cs.biu.ac.il Abstract. Modelin...
Natalie Fridman, Gal A. Kaminka