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CORR
2010
Springer
105views Education» more  CORR 2010»
15 years 1 months ago
Optimism in Reinforcement Learning Based on Kullback-Leibler Divergence
We consider model-based reinforcement learning in finite Markov Decision Processes (MDPs), focussing on so-called optimistic strategies. Optimism is usually implemented by carryin...
Sarah Filippi, Olivier Cappé, Aurelien Gari...
107
Voted
EMO
2006
Springer
161views Optimization» more  EMO 2006»
15 years 7 months ago
Design Issues in a Multiobjective Cellular Genetic Algorithm
In this paper we study a number of issues related to the design of a cellular genetic algorithm (cGA) for multiobjective optimization. We take as an starting point an algorithm fol...
Antonio J. Nebro, Juan José Durillo, Franci...
171
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TCOM
2010
197views more  TCOM 2010»
15 years 1 months ago
Power control for cooperative dynamic spectrum access networks with diverse QoS constraints
Dynamic spectrum access (DSA) is an integral part of cognitive radio technology aiming at efficient management of the available power and bandwidth resources. The present paper d...
Nikolaos Gatsis, Antonio G. Marqués, Georgi...
DAC
2005
ACM
16 years 4 months ago
An efficient algorithm for statistical minimization of total power under timing yield constraints
Power minimization under variability is formulated as a rigorous statistical robust optimization program with a guarantee of power and timing yields. Both power and timing metrics...
Murari Mani, Anirudh Devgan, Michael Orshansky
106
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ATMOS
2010
136views Optimization» more  ATMOS 2010»
15 years 2 months ago
An Empirical Analysis of Robustness Concepts for Timetabling
Calculating timetables that are insensitive to disturbances has drawn considerable research efforts due to its practical importance on the one hand and its hard tractability by c...
Marc Goerigk, Anita Schöbel