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GECCO
2009
Springer
162views Optimization» more  GECCO 2009»
13 years 7 months ago
Uncertainty handling CMA-ES for reinforcement learning
The covariance matrix adaptation evolution strategy (CMAES) has proven to be a powerful method for reinforcement learning (RL). Recently, the CMA-ES has been augmented with an ada...
Verena Heidrich-Meisner, Christian Igel
ECAL
2003
Springer
14 years 2 months ago
Evolving Aggregation Behaviors in a Swarm of Robots
In this paper, we study aggregation in a swarm of simple robots, called s-bots, having the capability to self-organize and selfassemble to form a robotic system, called a swarm-bot...
Vito Trianni, Roderich Groß, Thomas Halva La...
ECAL
2005
Springer
14 years 2 months ago
Analysing the Evolvability of Neural Network Agents Through Structural Mutations
This paper investigates evolvability of artificial neural networks within an artificial life environment. Five different structural mutations are investigated, including adaptive e...
Ehud Schlessinger, Peter J. Bentley, R. Beau Lotto
GECCO
2005
Springer
266views Optimization» more  GECCO 2005»
14 years 2 months ago
Total synthesis of algorithmic chemistries
Algorithmic Chemistries are Artificial Chemistries that aim at algorithms. In this contribution we present a new algorithm to execute Algorithmic Chemistries during evolution. Th...
Christian Lasarczyk, Wolfgang Banzhaf
AISADM
2005
Springer
14 years 2 months ago
Evolving Agents: Communication and Cognition
Computer programming of complex systems is a time consuming effort. Results are often brittle and inflexible. Evolving, self-learning flexible multi-agent systems remain a distant ...
Leonid I. Perlovsky