SDMIA 2015 - Sequential Decision Making for Intelligent Agents (SDMIA)

Sequential Decision Making for Intelligent Agents (SDMIA)
AAAI Fall Symposium
http://masplan.org/sdmia
Dates: November 12?14, 2015
Location: Arlington, Virginia adjacent to Washington, DC
Registration is open (deadline Oct 16):
https://www.regonline.com/fss15
===
Sequential decision making under uncertainty (SDM) is a powerful
paradigm for probabilistic planning. The emergence of various models
that analyze it under different sets of assumptions, e.g., as single-
and multi-agent MDPs and POMDPs, has gone hand in hand with the split of
this field into many subareas, each with a quite distinct research
community. The SDMIA Fall Symposium aims to bring the researchers of
computational sequential decision making under uncertainty together, in
order to facilitate the cross-pollination of ideas across these
communities and thus accelerate the development of the larger field. The
symposium will have ample room for discussions and interaction.
Furthermore, we intend to reflect on the current state of the field,
both in terms of theory and applications, and, more importantly, ways to
shape its future.
Program
We have received submissions on a great variety of topics within SDM,
including:
-applications of SDM
-advances in planning approaches and reinforcement learning
-GPU accelerated computation
-software for SDM
The full list of accepted papers can be found here:
http://masplan.org/sdmia_accepted_papers
Invited speakers:
Craig Boutilier, Google
Emma Brunskill, CMU
Alan Fern, Oregon State
Mykel Kochenderfer, Stanford
Milind Tambe, USC
Jason Williams, Microsoft Research
Shlomo Zilberstein, UMass Amherst
For titles and abstracts, please see:
http://masplan.org/sdmia_invited_speakers
Organizing Committee
Matthijs Spaan (chair), Delft University of Technology,
m.t.j.spaan-AT-tudelft.nl>
Frans Oliehoek, University of Amsterdam / University of Liverpool,
fao-AT-liverpool.ac.uk>
Christopher Amato, University of New Hampshire, camato-AT-cs.unh.edu>
Andrey Kolobov, Microsoft Research,
Pascal Poupart, University of Waterloo, ppoupart-AT-uwaterloo.ca>