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» Dynamic Control of Genetic Algorithms in a Noisy Environment
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GECCO
2009
Springer
130views Optimization» more  GECCO 2009»
15 years 10 months ago
The impact of jointly evolving robot morphology and control on adaptation rate
Embodied cognition emphasizes that intelligent behavior results from the coupled dynamics between an agent’s body, brain and environment. In response to this, several projects h...
Josh C. Bongard
140
Voted
CDC
2010
IEEE
160views Control Systems» more  CDC 2010»
14 years 11 months ago
Adaptive bases for Q-learning
Abstract-- We consider reinforcement learning, and in particular, the Q-learning algorithm in large state and action spaces. In order to cope with the size of the spaces, a functio...
Dotan Di Castro, Shie Mannor
EC
2008
116views ECommerce» more  EC 2008»
15 years 4 months ago
Efficient Evaluation Functions for Evolving Coordination
Abstract-- This paper presents a method for creating evaluation functions that efficiently promote coordination in a multiagent system, allowing single-agent evolutionary computati...
Adrian K. Agogino, Kagan Tumer
208
Voted
IWCLS
2007
Springer
15 years 10 months ago
On Lookahead and Latent Learning in Simple LCS
Learning Classifier Systems use evolutionary algorithms to facilitate rule- discovery, where rule fitness is traditionally payoff based and assigned under a sharing scheme. Most c...
Larry Bull
141
Voted
SENSYS
2006
ACM
15 years 10 months ago
ATPC: adaptive transmission power control for wireless sensor networks
Extensive empirical studies presented in this paper confirm that the quality of radio communication between low power sensor devices varies significantly with time and environme...
Shan Lin, Jingbin Zhang, Gang Zhou, Lin Gu, John A...