Connectionists: Final CfP: Workshop on Machine Learning for Interactive Systems (abstract registration: April 13)

[Otterlo, M. van (Martijn)]

Key Features of MLIS'13:
+ Proceedings published in the ACM digital library
+ Three internationally renowned invited speakers
__________________________________________________________

IJCAI Workshop on Machine Learning for Interactive Systems (MLIS'13): 
Bridging the Gap between Perception, Action and Communication

August 3-4, 2013, Beijing, China

http://mlis-workshop.org/2013

Call for Papers

Intelligent systems or robots that interact with their environment 
by perceiving, acting or communicating often face a challenge in 
how to bring these different concepts together. One of the main 
reasons for this challenge is the fact that the core concepts 
in perception, action and communication are typically studied by 
different communities: the computer vision, robotics and natural 
language processing communities, among others, without much 
interchange between them. As machine learning lies at the core of 
these communities, it can act as a unifying factor in bringing 
the communities closer together. Unifying these communities is 
highly important for understanding how state-of-the-art 
approaches from different disciplines can be combined 
(and applied) to form generally interactive intelligent systems.

The goal of this workshop is to bring researchers from multiple 
disciplines together who are in one way or another affected by 
the gap between action, perception and communication that 
typically exists for interactive systems or robots. 
Topics of interest include, but are not limited to:

Machine Learning:
- Reinforcement Learning
- Supervised Learning
- Unsupervised Learning
- Semi-Supervised Learning
- Active Learning
- Learning from human feedback
- Learning from teaching, tutoring, instruction and demonstration
- Combinations or generalisations of the above

Interactive Systems:
- (Socially) Interactive Robotics
- Embodied Virtual Agents
- Avatars
- Multimodal systems
- Cognitive (robotics) architectures

Types of Communication:
- System interacting with a single human user
- System interacting with multiple human users
- System interacting with the environment
- System interacting with other machines

Example applications could include: (1) a robot may learn to 
coordinate its speech with its actions, taking into account 
visual feedback during their execution; (2) an autonomous car 
may learn to coordinate its acceleration and steering behaviours 
depending on observations of obstacles; (3) a team of robots 
playing soccer may learn to coordinate their ball kicks depending 
on the dynamic locations of their opponents; (4) a sensorimotor 
system may learn to drive a wheelchair through feedback from 
visual signals of the environment; (5) a mobile robot may 
interactively learn from human guidance how to manipulate objects 
and move through a building, based on human feedback using 
language, gestures and interactive dialogue; or (6) a multimodal 
smart phone can adapt its input and output modalities to 
the user's goals, workload and surroundings.

Submissions can take two forms. Long papers should not exceed 
8 pages, and short (position) papers should not exceed 4 pages. 
They should follow the ACM SIG proceedings format (option 1): 
http://www.acm.org/sigs/publications/proceedings-templates. 
All submissions should be anonymised for peer-review.

Submission link: https://www.easychair.org/conferences/?conf=mlis2013

Accepted papers will be published by ACM International Conference 
Proceedings Series under ISBN 978-1-4503-2019-1. The proceedings 
of MLIS’13 will be available on the ACM digital library on the day 
of the workshop.

Invited Speakers:
Prof. Dr. Martin Riedmiller, University of Freiburg, Germany
Title: "Learning Machines that Perceive, Act and Communicate"
Prof. Dr. Olivier Pietquin, Supélec, France
Title: "Inverse Reinforcement Learning for Interactive Systems"
Dr. George Konidaris, MIT, United States
Title: "Autonomous Robot Skill Acquisition"

Important Dates:
April 13, Abstract registration
April 20, Paper submission deadline
May 20, Notification of acceptance
May 30, Camera-ready deadline
August 3-4, MLIS workshop

Organising Committee:
Heriberto Cuayahuitl, Heriot-Watt University, Edinburgh, UK
Lutz Frommberger, University of Bremen, Germany
Nina Dethlefs, Heriot-Watt University, Edinburgh, UK
Martijn van Otterlo, Radboud University Nijmegen, The Netherlands

Programme Committee:
Kai Arras, University of Freiburg, Germany
Maren Bennewitz, University of Freiburg, Germany
Dan Bohus, Microsoft Research, USA
Martin Butz, University of Tübingen, Germany
Paul Crook, Microsoft, USA
Mary Ellen Foster, Heriot-Watt University, UK
Helen Hastie, Heriot-Watt University, UK
Jesse Hoey, University of Waterloo, Canada
Filip Jurcícek, Charles University in Prague, Czech Republic
Simon Keizer, Heriot-Watt University, UK
Kazunori Komatani, Nagoya University, Japan
George Konidaris, MIT CSAIL, USA
Honghai Liu, University of Portsmouth, UK
Ramon Lopez de Mantaras, Spanish Council for Scientific Research, Spain
Eduardo Morales, National Institute of Astrophysics, Optics and Electronics, Mexico
Plinio Moreno, Instituto Superior Técnico, Portugal
Olivier Pietquin, Supelec, France
Matthew Purver, Queen Mary University of London, UK
Antoine Raux, Honda Research Institute, USA
Alex Rudnicky, Carnegie Mellon University, USA
Hiroshi Shimodaira, University of Edinburgh, UK
Danijel Skocaj, University of Ljubljana, Slovenia
Blaise Thomson, University of Cambridge, UK
Zhuoran Wang, Heriot-Watt University, UK
Marco Wiering, University of Groningen, The Netherlands
Jason Williams, Microsoft Research, USA
Junichi Yamagishi, University of Edinburgh, UK 

For all enquires, please mail: organizers at mlis-workshop.org

-- 
Check out our new/cool/ultimate reinforcement learning book at Springer (march 2012)
http://www.springer.com/engineering/computational+intelligence+and+complexity/book/978-3-642-27644-6

Martijn van Otterlo
Artificial Intelligence
Radboud University Nijmegen
The Netherlands
http://www.socsci.ru.nl/~martijvo
"Don't say it's just your personal opinion; you have no other" (Bomans).