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BROADNETS
2004
IEEE
13 years 9 months ago
Efficient QoS Provisioning for Adaptive Multimedia in Mobile Communication Networks by Reinforcement Learning
The scarcity and large fluctuations of link bandwidth in wireless networks have motivated the development of adaptive multimedia services in mobile communication networks, where i...
Fei Yu, Vincent W. S. Wong, Victor C. M. Leung
ML
1998
ACM
101views Machine Learning» more  ML 1998»
13 years 5 months ago
Elevator Group Control Using Multiple Reinforcement Learning Agents
Recent algorithmic and theoretical advances in reinforcement learning (RL) have attracted widespread interest. RL algorithmshave appeared that approximatedynamic programming on an ...
Robert H. Crites, Andrew G. Barto
LION
2007
Springer
192views Optimization» more  LION 2007»
13 years 11 months ago
Learning While Optimizing an Unknown Fitness Surface
This paper is about Reinforcement Learning (RL) applied to online parameter tuning in Stochastic Local Search (SLS) methods. In particular a novel application of RL is considered i...
Roberto Battiti, Mauro Brunato, Paolo Campigotto
AI
2011
Springer
13 years 12 days 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...
ALDT
2011
Springer
251views Algorithms» more  ALDT 2011»
12 years 5 months ago
Game Theory and Human Behavior: Challenges in Security and Sustainability
Security and sustainability are two critical global challenges that involve the interaction of many intelligent actors. Game theory provides a sound mathematical framework to model...
Rong Yang, Milind Tambe, Manish Jain, Jun-young Kw...