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ATAL
2007
Springer
15 years 10 months ago
Reducing the complexity of multiagent reinforcement learning
It is known that the complexity of the reinforcement learning algorithms, such as Q-learning, may be exponential in the number of environment’s states. It was shown, however, th...
Andriy Burkov, Brahim Chaib-draa
SODA
2001
ACM
102views Algorithms» more  SODA 2001»
15 years 5 months ago
Approximate majorization and fair online load balancing
This paper relates the notion of fairness in online routing and load balancing to vector majorization as developed by Hardy, Littlewood, and Polya 9]. We de ne -supermajorization ...
Ashish Goel, Adam Meyerson, Serge A. Plotkin
PODC
2006
ACM
15 years 10 months ago
Local approximation schemes for topology control
This paper presents a distributed algorithm for wireless adhoc networks that runs in polylogarithmic number of rounds in the size of the network and constructs a lightweight, line...
Mirela Damian, Saurav Pandit, Sriram V. Pemmaraju
SIAMNUM
2010
103views more  SIAMNUM 2010»
14 years 11 months ago
Hybridization and Postprocessing Techniques for Mixed Eigenfunctions
Abstract. We introduce hybridization and postprocessing techniques for the RaviartThomas approximation of second-order elliptic eigenvalue problems. Hybridization reduces the Ravia...
Bernardo Cockburn, Jayadeep Gopalakrishnan, F. Li,...
KR
2004
Springer
15 years 9 months ago
Breadth-First Heuristic Search
Recent work shows that the memory requirements of bestfirst heuristic search can be reduced substantially by using a divide-and-conquer method of solution reconstruction. We show...
Rong Zhou, Eric A. Hansen