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» Terminating Decision Algorithms Optimally
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118
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ATAL
2008
Springer
15 years 5 months ago
Non-linear dynamics in multiagent reinforcement learning algorithms
Several multiagent reinforcement learning (MARL) algorithms have been proposed to optimize agents' decisions. Only a subset of these MARL algorithms both do not require agent...
Sherief Abdallah, Victor R. Lesser
104
Voted
ISLPED
1997
ACM
83views Hardware» more  ISLPED 1997»
15 years 7 months ago
A symbolic algorithm for low-power sequential synthesis
We present an algorithm that restructures the state transition graph STG of a sequential circuit so as to reduce power dissipation. The STG is modi ed without changing the behav...
Balakrishna Kumthekar, In-Ho Moon, Fabio Somenzi
122
Voted
GECCO
2007
Springer
150views Optimization» more  GECCO 2007»
15 years 9 months ago
Credit assignment in adaptive memetic algorithms
Adaptive Memetic Algorithms couple an evolutionary algorithm with a number of local search heuristics for improving the evolving solutions. They are part of a broad family of meta...
J. E. Smith
GECCO
2009
Springer
127views Optimization» more  GECCO 2009»
15 years 10 months ago
Geometrical insights into the dendritic cell algorithm
This work examines the dendritic cell algorithm (DCA) from a mathematical perspective. By representing the signal processing phase of the algorithm using the dot product it is sho...
Thomas Stibor, Robert Oates, Graham Kendall, Jonat...
GECCO
2007
Springer
140views Optimization» more  GECCO 2007»
15 years 9 months ago
Peer-to-peer evolutionary algorithms with adaptive autonomous selection
In this paper we describe and evaluate a fully distributed P2P evolutionary algorithm (EA) with adaptive autonomous selection. Autonomous selection means that decisions regarding ...
W. R. M. U. K. Wickramasinghe, Maarten van Steen, ...