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CEC
2007
IEEE
14 years 3 days ago
Combine and compare evolutionary robotics and reinforcement Learning as methods of designing autonomous robots
—The purpose of this paper is to present a comparison between two methods of building adaptive controllers for robots. In spite of the wide range of techniques which are used for...
Sergiu Goschin, Eduard Franti, Monica Dascalu, San...
IJRR
2008
186views more  IJRR 2008»
13 years 5 months ago
Automated Design of Adaptive Controllers for Modular Robots using Reinforcement Learning
Designing distributed controllers for self-reconfiguring modular robots has been consistently challenging. We have developed a reinforcement learning approach which can be used bo...
Paulina Varshavskaya, Leslie Pack Kaelbling, Danie...
MIRRORBOT
2005
Springer
134views Robotics» more  MIRRORBOT 2005»
13 years 11 months ago
Modular Learning Schemes for Visual Robot Control
Gilles Hermann, Patrice Wira, Jean-Philippe Urban
ICRA
1994
IEEE
94views Robotics» more  ICRA 1994»
13 years 10 months ago
A Reinforcement-Learning Approach to Reactive Control Policy Design for Autonomous Robots
Within the field of robotics, much recent attention has been given to control techniques that have been termed reactive or behavior-based. The design of such control systems for e...
Andrew H. Fagg, David Lotspeich, George A. Bekey
ICRA
2009
IEEE
259views Robotics» more  ICRA 2009»
14 years 13 days ago
Constructing action set from basis functions for reinforcement learning of robot control
Abstract— Continuous action sets are used in many reinforcement learning (RL) applications in robot control since the control input is continuous. However, discrete action sets a...
Akihiko Yamaguchi, Jun Takamatsu, Tsukasa Ogasawar...