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AAAI
1998
15 years 8 months ago
The Dynamics of Reinforcement Learning in Cooperative Multiagent Systems
Reinforcement learning can provide a robust and natural means for agents to learn how to coordinate their action choices in multiagent systems. We examine some of the factors that...
Caroline Claus, Craig Boutilier
TIT
2008
95views more  TIT 2008»
15 years 6 months ago
On the Delay and Throughput Gains of Coding in Unreliable Networks
In an unreliable packet network setting, we study the performance gains of optimal transmission strategies in the presence and absence of coding capability at the transmitter, wher...
Atilla Eryilmaz, Asuman E. Ozdaglar, Muriel M&eacu...
BDIM
2007
IEEE
58views Business» more  BDIM 2007»
16 years 1 months ago
Derivation of Response Time Service Level Objectives for Business Services
— Design of Service Level Agreements (SLAs) emerges as an increasingly important discipline in business-oriented IT management. In this work, we study utility maximization of con...
David Breitgand, Elean A. Henis, Onn Shehory, John...
CP
2001
Springer
15 years 11 months ago
Random 3-SAT and BDDs: The Plot Thickens Further
Abstract. This paper contains an experimental study of the impact of the construction strategy of reduced, ordered binary decision diagrams (ROBDDs) on the average-case computation...
Alfonso San Miguel Aguirre, Moshe Y. Vardi
TSP
2008
118views more  TSP 2008»
15 years 6 months ago
Channel-Aware Random Access Control for Distributed Estimation in Sensor Networks
A cross-layered slotted ALOHA protocol is proposed and analyzed for distributed estimation in sensor networks. Suppose that the sensors in the network record local measurements of ...
Y.-W. P. Hong, Keng-U Lei, Chong-Yung Chi