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INFOCOM
2007
IEEE
14 years 2 months ago
On Optimal MAC Scheduling With Physical Interference
— We propose a general family of MAC scheduling algorithms that achieve any rate-point on a uniform discretelattice within the throughput-region (i.e., lattice-throughputoptimal)...
Yung Yi, Gustavo de Veciana, Sanjay Shakkottai
ATAL
2010
Springer
13 years 9 months ago
A quantified distributed constraint optimization problem
In this paper, we propose a Quantified Distributed Constraint Optimization problem (QDCOP) that extends the framework of Distributed Constraint Optimization problems (DCOPs). DCOP...
Toshihiro Matsui, Hiroshi Matsuo, Marius-Calin Sil...
AI
2011
Springer
13 years 2 months ago
Bounded approximate decentralised coordination via the max-sum algorithm
In this paper we propose a novel approach to decentralised coordination, that is able to efficiently compute solutions with a guaranteed approximation ratio. Our approach is base...
Alex Rogers, Alessandro Farinelli, Ruben Stranders...
ATAL
2004
Springer
14 years 1 months ago
Best-Response Multiagent Learning in Non-Stationary Environments
This paper investigates a relatively new direction in Multiagent Reinforcement Learning. Most multiagent learning techniques focus on Nash equilibria as elements of both the learn...
Michael Weinberg, Jeffrey S. Rosenschein
NEUROSCIENCE
2001
Springer
14 years 9 days ago
Analysis and Synthesis of Agents That Learn from Distributed Dynamic Data Sources
We propose a theoretical framework for specification and analysis of a class of learning problems that arise in open-ended environments that contain multiple, distributed, dynamic...
Doina Caragea, Adrian Silvescu, Vasant Honavar