ERLARS 2008 - 1st International Workshop on
Evolutionary and Reinforcement Learning for Autonomous Robot Systems
Please note: This page is about a past workshop. Please look at our main page for information on current and upcoming events.
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
- Developmental and epigenetic robotics
- Balancing exploration and exploitation of acquired knowledge
- Simulated environments for autonomous robot learning scenarios
Submission Dates
- April 13 2008: Paper submission deadline (extended!)
- May 10 2008: Notification of paper acceptance
- May 26 2008: Camera ready paper submission
- May 30 2008: Workshop registration for presenting author
- July 22 2008: Workshop takes place
The initial paper submission deadline is on April 13 2008 at 23:59 UTC (GMT).
Paper format
Please see the authors' section for formatting instructions.
Author of these pages: Nils T Siebel.
Last modified on Sat Apr 4 2009.
Last modified on Sat Apr 4 2009.
