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Speeding up Learning with Dynamic Environment Shaping in Evolutionary Robotics

By Nicolas Bredeche and Louis Hugues

Abstract

Evolutionary Robotics is a promising approach to automatically build efficient controllers using stochastic optimization techniques. However, works in this area are often confronted to complex environments where even simple tasks cannot be achieved. In the scope of this paper, we propose an approach based on explicit problem decomposition and dynamic environment shaping to ease the learning task

Topics: Machine Learning, Robotics
Publisher: Lund University Cognitive Studies
Year: 2005
OAI identifier: oai:cogprints.org:4989

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Citations

  1. (2000). Evolutionary Robotics, The Biology, Ingelligence, and Technologie of Self-Organizing Machines.

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