[robotics-worldwide] EWRL 2012 - Updated Call for Papers

Marc Deisenroth marc at cs.washington.edu
Mon Feb 6 00:01:11 PST 2012

Key Facts:

EWRL 2012: The 10th European Workshop on Reinforcement Learning
Location: Edinburgh, Scotland (2-days ICML workshop)

EWRL 2012:            June 30-July 1
Submission Deadline:  April 15, 2012
Notification Due:     May 15, 2012

Proceedings published in JMLR W&C, Vol. 24

URL: http://ewrl.wordpress.com/ewrl10-2012/

Organizers: Marc Deisenroth, Csaba Szepesvari, Jan Peters

EWRL 2012 aims to serve as a forum to discuss the current
state-of-the-art and future research directions in the continuously
growing field of reinforcement learning. We intend to make this an
exciting event not only for the European RL community but also
international researchers from related areas with many opportunities to
share new knowledge and encourage collaborative work.

The main question of this workshop is to discuss, how other statistical
learning techniques may be used to developed new RL approaches in order
to achieve properties including higher numerical robustness,  easier use
in terms of open parameters, probabilistic and Bayesian interpretations,
better scalability, the inclusions of prior knowledge, etc.

We are calling for papers from the entire reinforcement learning
spectrum, with the option of either 2 page short papers or longer 8 page
JMLR W&C Proceedings format research papers. EWRL especially encourages
papers on Robot Reinforcement Learning. We will publish selected
papers in the prestigious JMLR W&C Proceedings, Vol. 24.

Double submissions are allowed but must be clearly indicated. However in
the event that an EWRL paper is accepted to another conference
proceedings or journal, it will not be reprinted in the official EWRL
proceedings. The paper would still be considered, however, for
acceptance and presentation at EWRL.

We encourage submissions from a range of sub-topics including
(but not limited to):

- Reinforcement Learning Theory
- Function Approximation in Reinforcement Learning
- Current Progress in Bandit Regret Bounds
- Exploration vs Exploration Tradeoff
- Multi-Agent Reinforcement Learning
- Policy Search
- Actor-Critic Methods
- Bayesian Control Approaches
- RL Benchmark Problems
- Real-world Applications especially in Robotics

Keynote Speakers:

Richard Sutton (University of Alberta)
Shie Mannor (Technion)
Martin Riedmiller (University of Freiburg)
Drew Bagnell (CMU) (tentative)

Submission deadline: April 15, 2012
Page limit:          2 pages for short papers and 8 pages for regular
Paper format:        JMLR W&C, Vol. 24
Style file:

For more information, see http://ewrl.wordpress.com/ewrl10-2012/

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