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GECCO
2006
Springer
133views Optimization» more  GECCO 2006»
13 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
JPDC
2007
117views more  JPDC 2007»
13 years 7 months ago
Adversarial exploits of end-systems adaptation dynamics
Internet end-systems employ various adaptation mechanisms that enable them to respond adequately to legitimate requests in overload situations. Today, these mechanisms are incorpo...
Mina Guirguis, Azer Bestavros, Ibrahim Matta, Yuti...
ICAI
2003
13 years 9 months ago
Exploiting the Marginal Profits of Constraints with Evolutionary Multi-Objective Optimization Techniques
Many real-world search and optimization problems naturally involve constraint handling. Recently, quite a few heuristic methods were proposed to solve the nonlinear constrained op...
Zhenyu Yan, Wei Zhi, Lishan Kang
ICRA
2010
IEEE
162views Robotics» more  ICRA 2010»
13 years 6 months ago
Comparing and modeling distributed control strategies for miniature self-assembling robots
— We propose two contrasting approaches to the scalable distributed control of a swarm of self-assembling miniaturized robots, specifically the formation of chains of a desired ...
William C. Evans, Grégory Mermoud, Alcherio...
CEC
2009
IEEE
14 years 2 months ago
On-line neuroevolution applied to The Open Racing Car Simulator
— The application of on-line learning techniques to modern computer games is a promising research direction. In fact, they can be used to improve the game experience and to achie...
Luigi Cardamone, Daniele Loiacono, Pier Luca Lanzi