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IJRR
2008
186views more  IJRR 2008»
14 years 9 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...
ESORICS
2007
Springer
15 years 3 months ago
Adaptive Soundness of Static Equivalence
Abstract. We define a framework to reason about implementations of equational theories in the presence of an adaptive adversary. We particularly focus on soundess of static equiva...
Steve Kremer, Laurent Mazaré
65
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ICRA
2010
IEEE
130views Robotics» more  ICRA 2010»
14 years 8 months ago
A distributed strategy for gait adaptation in modular robots
Abstract— In this paper we study online gait optimization for modular robots. The learning strategy we apply is distributed, independent on robot morphology, and easy to implemen...
David Johan Christensen, Ulrik Pagh Schultz, Kaspe...
AMAST
2004
Springer
15 years 1 months ago
Modularity and the Rule of Adaptation
This paper presents a new rule for reasoning about method calls in object-oriented programs. It is an adaptation of Hoare's rule of adaptation to the object-oriented paradigm,...
Cees Pierik, Frank S. de Boer
AH
2000
Springer
15 years 2 months ago
Coherence in Modularly Composed Adaptive Learning Documents
Abstract. In this paper we suggest the Multibook approach how the gap between adaptivity and readability can be diminished. We show how a knowledge base has to be described by meta...
Cornelia Seeberg, Achim Steinacker, Ralf Steinmetz