RWARL 2012 - IJCNN 2012 special session on Real World Applications of Reinforcement Learning

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Category RWARL 2012

Deadline: January 18, 2012 | Date: June 10, 2012-June 15, 2012

Venue/Country: Brisbane, Australia

Updated: 2011-12-18 19:03:58 (GMT+9)

Call For Papers - CFP

special session on Real World Applications of Reinforcement Learning,

part of the 2012 IEEE World Congress on Computational Intelligence

(IEEE WCCI 2012), Brisbane, Australia, June 10-15, 2012.

http://como.vub.ac.be/rwarl2012

AIM AND SCOPE

Reinforcement Learning (RL) algorithms have long left the tiny grid

worlds of the early years. From robot control to autonomous navigation,

research labs have been applying RL to address increasingly difficult

problems, showing that this paradigm is ready for the real world.

In recent years, a number of papers have shown successful practical

applications, in fields as diverse as production control, finance,

scheduling,

communications, autonomous vehicle control. While such examples are

relevant, they do not abound, and RL is still far from being routinely

applied

as more mature supervised machine learning techniques are. Moreover,

conferences and journals tend to dismiss "mere application" papers

which

do not carry relevant contributions at the theoretical level.

With this special session, we intend to gather recent examples of the

application of RL to real-world problems, focusing in particular on

the practical difficulties of applying existing RL algorithms, rather

than on theoretical innovations. The aim is to give an updated

picture of the state of the art of real world applications of RL.

We solicit original submissions describing applications of all

flavors of reinforcement learning and approximate dynamic

programming in a real-world scenario.

Topics of interest include, but are not limited to, the application

of:

* Approximate dynamic programming

* Reinforcement learning

* Batch RL

* Policy gradients

* Options learning

* Hierarchical RL

* Multi-objective RL

* Multi-agent RL

* Bandit problem solvers

* Markov Decision Processes

in fields such as

* Industrial control

* Production control

* Automotive control

* Autonomous vehicles control

* Logistics

* Telecommunication networks

* Sensor networks

* Ambient intelligence

* Robotics

* Finance

In preparing your submission, please motivate the use of RL;

point out the difficulties encountered in your implementation;

discuss potential bottlenecks and limitations of your approach;

and, if possible, compare its performance with that of a more

traditional method.

IMPORTANT DATES

Submission deadline: Extended to Jan 18 2012

Acceptance notification: Feb 20, 2012

Final version submission: April 2, 2012

Early registration: April 2, 2012

Conference: June 10-15, 2012

Please check the main WCCI site for updates:

http://www.ieee-wcci2012.org/ieee-wcci2012/

SUBMISSION INSTRUCTIONS

Papers should not exceed 8 pages in the IEEE double column format,

US Letter paper size. Please prepare your submission according to

the common instructions for WCCI conferences, available here:

http://www.ieee-wcci2012.org/ieee-wcci2012/index.php?option=com_content&view=article&id=58&Itemid=67

Upload your paper via the IJCNN 2012 submission page:

http://ieee-cis.org/conferences/ijcnn2012/upload.php

*selecting the special session as main research topic* :

S35. Real World Applications of Reinforcement Learning

Accepted papers will be published in the WCCI 2012 proceedings.

ORGANIZERS

Matteo Gagliolo, Peter Vrancx and Ann Nowé

AI Lab, Computational Modeling group (CoMo)

Department of Informatics

Vrije Universiteit Brussel (VUB)

Brussels, Belgium