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TMC
2011
137views more  TMC 2011»
13 years 1 months ago
Cognitive Medium Access: Exploration, Exploitation, and Competition
— This paper establishes the equivalence between cognitive medium access and the competitive multi-armed bandit problem. First, the scenario in which a single cognitive user wish...
Lifeng Lai, Hesham El Gamal, Hai Jiang, H. Vincent...
IPPS
2006
IEEE
14 years 8 days ago
Exploiting unbalanced thread scheduling for energy and performance on a CMP of SMT processors
This paper explores thread scheduling on an increasingly popular architecture: chip multiprocessors with simultaneous multithreading cores. Conventional multiprocessor scheduling,...
M. De Vuyst, Rakesh Kumar, Dean M. Tullsen
SMC
2007
IEEE
102views Control Systems» more  SMC 2007»
14 years 16 days ago
An improved immune Q-learning algorithm
—Reinforcement learning is a framework in which an agent can learn behavior without knowledge on a task or an environment by exploration and exploitation. Striking a balance betw...
Zhengqiao Ji, Q. M. Jonathan Wu, Maher A. Sid-Ahme...
TEC
2010
120views more  TEC 2010»
13 years 29 days ago
Benefits of a Population: Five Mechanisms That Advantage Population-Based Algorithms
This paper identifies five distinct mechanisms by which a population-based algorithm might have an advantage over a solo-search algorithm in classical optimization. These mechanism...
Adam Prügel-Bennett
GECCO
2005
Springer
162views Optimization» more  GECCO 2005»
13 years 11 months ago
An autonomous explore/exploit strategy
In reinforcement learning problems it has been considered that neither exploitation nor exploration can be pursued exclusively without failing at the task. The optimal balance bet...
Alex McMahon, Dan Scott, William N. L. Browne