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» Improving the Performance of the RISE Algorithm
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209
Voted
GECCO
2006
Springer
133views Optimization» more  GECCO 2006»
15 years 11 months ago
On-line evolutionary computation for reinforcement learning in stochastic domains
In reinforcement learning, an agent interacting with its environment strives to learn a policy that specifies, for each state it may encounter, what action to take. Evolutionary c...
Shimon Whiteson, Peter Stone
IPPS
1997
IEEE
15 years 11 months ago
View Caching: Efficient Software Shared Memory for Dynamic Computations
Software distributed shared memory (DSM) techniques, while effective on applications with coarse-grained sharing, yield poor performance for the fine-grained sharing encountered i...
Vijay Karamcheti, Andrew A. Chien
VLDB
1995
ACM
94views Database» more  VLDB 1995»
15 years 11 months ago
Value-cognizant Speculative Concurrency Control
We describe SCC-kS, a Speculative Concurrency Control (SCC) algorithm that allows a DBMS to use efficiently the extra computing resources available in the system to increase the l...
Azer Bestavros, Spyridon Braoudakis
134
Voted
ICPR
2010
IEEE
15 years 11 months ago
Vehicle Recognition As Changes in Satellite Imagery
Over the last several years, a new probabilistic representation for 3-d volumetric modeling has been developed. The main purpose of the model is to detect deviations from the norm...
Ozge Can Ozcanli, Joseph Mundy
212
Voted
GECCO
2010
Springer
165views Optimization» more  GECCO 2010»
15 years 9 months ago
Evolving robust controller parameters using covariance matrix adaptation
In this paper, the advantages of introducing an additional amount of tests when evolving parameters for specific purposes is discussed. A set of optimal PID-controller parameters...
Gerulf K. M. Pedersen, Martin V. Butz