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AISB event Bulletin Item

CFP: Machine Learning for Sensor Planning - MLSP workshop at ICML'07: Extended Deadline



              Machine Learning for Sensor Planning

              An ICML 2007 Workshop and Competition
              Corvallis, Oregon, USA, June 24, 2007

               **** EXTENDED DEADLINE: May 21 *****


Sensor planning is the source of very complex decision problems,
as a result of partial observability and the need to reason about
the information gain from sensing actions. Also, sensor planning
is a fundamental enabling technology which has broad applicability
to future intelligent systems in transportation, emergency services
and security.

The challenges posed by the domain of sensor planning are highly
relevant for current machine learning research. ML techniques that
can be applied to sensor planning are wide-ranging, and include
reinforcement learning, evolutionary approaches, model learning
and dynamic programming, etc.

The MLSP workshop aims to encourage multi-disciplinary research
to address these important and challenging problems. It will bring
together researchers from a wide range of ML-related areas. In
addition, we provide a sensor planning benchmark platform to enable
the participants and the wider ML community to compare the
performance of the various techniques.


In order to encourage a practical focus of workshop contributions,
and to provide a benchmark for direct comparison of algorithm
performance, we have defined and implemented a sensor planning
challenge scenario. Researchers are encouraged to submit programs
for the competition, and a competition will take place online at a yet to be specified date after the workshop. Cash prizes totalling 00 will be awarded to winning programs.

To present at the workshop, software submission is not necessary.
It is possible to submit a paper without software.

A detailed description of the benchmark challenge scenario and the complete simulator software can be downloaded from the SPRC web page at


Submissions to the SPRC workshop are in the form of an extended abstract that discusses and possibly evaluates solutions to the research challenge. We also encourage the submission of papers discussing technologies related to sensor planning under uncertainty, even if they do not represent complete solutions. Also, papers discussing the suitability of the existing challenge problem definition or suggesting alternatives will be welcome.

Extended abstracts of up to 2 pages in length should be submitted in
pdf to Daniel Kudenko (kudenko@cs.york.ac.uk). The paper format should
be according to ICML 07 instructions.


- May 21: Extended abstract submission
- May 28: Notification of acceptance.
- June 17: Camera-ready submission.
- June 24: Workshop date.


Workshop Chair:
- Daniel Kudenko, University of York, UK (Contact:

PC Members:
- Mike Brookes, Imperial College, UK.
- Ann Nowe, Vrije Universiteit Brussel, Belgium.
- Nicholas Roy, MIT, USA.
- Malcolm Strens, QinetiQ, UK
- Antonios Tsourdos, Cranfield University, UK.
- Karl Tuyls, Maastricht University, Netherlands.
- Danny Weyns, Katholieke Universiteit Leuven, Belgium.