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HIPC
2003
Springer
14 years 25 days ago
A Parallel Iterative Improvement Stable Matching Algorithm
Abstract. In this paper, we propose a new approach, parallel iterative improvement (PII), to solving the stable matching problem. This approach treats the stable matching problem a...
Enyue Lu, S. Q. Zheng
NIPS
1998
13 years 9 months ago
Finite-Sample Convergence Rates for Q-Learning and Indirect Algorithms
In this paper, we address two issues of long-standing interest in the reinforcement learning literature. First, what kinds of performance guarantees can be made for Q-learning aft...
Michael J. Kearns, Satinder P. Singh
INFOCOM
2010
IEEE
13 years 6 months ago
Distributed Opportunistic Scheduling for Ad-Hoc Communications Under Delay Constraints
—With the convergence of multimedia applications and wireless communications, there is an urgent need for developing new scheduling algorithms to support real-time traffic with ...
Sheu-Sheu Tan, Dong Zheng, Junshan Zhang, James R....
CDC
2008
IEEE
13 years 9 months ago
Distributed estimation and control for stochastically interacting robots
Abstract-- We introduce a distributed estimation algorithm for use by a collection of stochastically interacting agents. Each agent has both a discrete value and an estimate of the...
Fayette W. Shaw, Eric Klavins
JOTA
2010
117views more  JOTA 2010»
13 years 6 months ago
Distributed Stochastic Subgradient Projection Algorithms for Convex Optimization
We consider a distributed multi-agent network system where the goal is to minimize a sum of agent objective functions subject to a common set of constraints. For this problem, we p...
S. Sundhar Ram, Angelia Nedic, Venugopal V. Veerav...