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CORR
2010
Springer
127views Education» more  CORR 2010»
14 years 9 months ago
Mean field for Markov Decision Processes: from Discrete to Continuous Optimization
We study the convergence of Markov Decision Processes made of a large number of objects to optimization problems on ordinary differential equations (ODE). We show that the optimal...
Nicolas Gast, Bruno Gaujal, Jean-Yves Le Boudec
75
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CORR
2004
Springer
103views Education» more  CORR 2004»
14 years 9 months ago
The Freeze-Tag Problem: How to Wake Up a Swarm of Robots
An optimization problem that naturally arises in the study of swarm robotics is the Freeze-Tag Problem (FTP) of how to awaken a set of "asleep" robots, by having an awak...
Esther M. Arkin, Michael A. Bender, Sándor ...
ANOR
2010
112views more  ANOR 2010»
14 years 8 months ago
Online stochastic optimization under time constraints
This paper considers online stochastic optimization problems where uncertainties are characterized by a distribution that can be sampled and where time constraints severely limit t...
Pascal Van Hentenryck, Russell Bent, Eli Upfal
DCOSS
2011
Springer
13 years 9 months ago
Distributed local broadcasting algorithms in the physical interference model
—Given a set of sensor nodes V where each node wants to broadcast a message to all its neighbors that are within a certain broadcasting range, the local broadcasting problem is t...
Dongxiao Yu, Yuexuan Wang, Qiang-Sheng Hua, Franci...
ICML
1999
IEEE
15 years 10 months ago
Least-Squares Temporal Difference Learning
Excerpted from: Boyan, Justin. Learning Evaluation Functions for Global Optimization. Ph.D. thesis, Carnegie Mellon University, August 1998. (Available as Technical Report CMU-CS-...
Justin A. Boyan