[robotics-worldwide] 2nd CFP: ERLARS 2008 - Evolutionary and Reinforcement Learning for Autonomous Robot Systems

Nils T Siebel nts at ks.informatik.uni-kiel.de
Mon Mar 17 13:35:19 PDT 2008

[Apologies if you receive this more than once!]




Held in conjunction with ECAI 2008 in Patras, Greece on July 21/22 2008



Call for Papers


Learning is essential for an autonomous robot system.  The range of
unexpected situations it can handle while performing its task depends on
its ability to adapt. Recent developments have taken autonomous robots
beyond industrial settings, for example at home as toys and cleaners.
However, production models usually interact with their environment
following a fixed control strategy, which limits their range of
application. More adaptable robots require control strategies that learn
more and better from interactions with their environment.  The ERLARS
workshop addresses the challenge to develop efficient and versatile
learning architectures for autonomous robot systems, with the main focus
on adequate evolutionary and reinforcement learning algorithms.

Relevant Topics

Papers are invited on all aspects of learning methods for the control of
autonomous robot systems, including, but not limited to:

 * Model-free visual servoing
 * Mobile robot navigation by means of reinforcement learning
 * Combining offline- and online learning methods for robot control
 * Reinforcement learning by evolutionary algorithms of neural
  network-based and other robot controllers
 * Hybrid systems that combine modelling and parameter estimation by
  reinforcement learning
 * Learning from scratch and cascaded learning architectures
 * Balancing exploration and exploitation of acquired knowledge
 * Simulated environments for autonomous robot learning scenarios

Important Dates

 * April 10: Paper submission deadline
 * May 10: Notification of paper acceptance
 * May 26: Camera ready paper submission
 * July 21 or 22: Workshop takes place

Workshop Chairs

Nils T Siebel
Cognitive Systems Group, Institute of Computer Science,
Christian-Albrechts-University of Kiel Kiel, Germany

Josef Pauli
Intelligent Systems Group, Department of Computer Science,
University of Duisburg-Essen Duisburg, Germany

Programme Committee

Andrew Barto (University of Massachusetts Amherst, USA)
Peter Dürr (EPFL Lausanne, Switzerland)
Christian Igel (Ruhr-Universität Bochum, Germany)
Yohannes Kassahun (DFKI Lab Bremen, University of Bremen, Germany)
Takanori Koga (Kyushu Institute of Technology, Kitakyushu, Japan)
Tim Kovacs (University of Bristol, UK)
Jun Ota (University of Tokyo, Japan)
Josef Pauli (University of Duisburg-Essen, Germany)
Jan Peters (MPI for Biological Cybernetics, Tübingen, Germany)
Daniel Polani (University of Hertfordshire, Hatfield, UK)
Marcello Restelli (Politecnico di Milano, Italy)
Stefan Schiffer (RWTH Aachen University, Germany)
Juergen Schmidhuber (Swiss AI Lab IDSIA, Lugano, Switzerland)
Marc Toussaint (TU Berlin, Germany)
Nils T Siebel (Christian-Albrechts-University of Kiel, Germany)
Jeremy Wyatt (University of Birmingham, UK)


More information on the workshop website: http://www.erlars.org/



Nils T Siebel
Cognitive Systems Group
Institute of Computer Science
Christian-Albrechts-University of Kiel
Olshausenstr. 40
24098 Kiel, Germany.

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