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HIPC
2003
Springer
15 years 4 months 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
15 years 1 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
14 years 10 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
15 years 1 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»
14 years 10 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...