[agents] MSDM @ AAMAS-2015: Call for Participation

[Brenda Ng]

Dear Colleagues,

We cordially invite you to attend the 10th MSDM workshop, which is held in
conjunction with AAMAS-2015 (the 14th International Joint Conference on
Autonomous Agents and Multiagent Systems), in Istanbul, Turkey.

It is an excellent opportunity for you to absorb the latest advancements in
multiagent sequential decision-making research, and to actively discuss a
variety of exciting on-going works. This year, we are extremely fortunate
to have Dr. Matthijs Spaan as the invited speaker, as well as Prof. Lin
Padgham, Prof. Milind Tambe, and Dr. Yingke Chen as panelists for an
interesting discussion on “BDI, Rules and Multiagent Planning”.

The MSDM workshop will take place on Tuesday, May 5, 2015, preceding the
technical program of the AAMAS conference. Please join us and many of
others in this community. We look forward to seeing you there!

Best regards,
The MSDM 2015 Organizers

==================================================================

                                                  CALL FOR PARTICIPATION
                                                     AAMAS 2015 Workshop
                  Multiagent Sequential Decision Making Under Uncertainty
(MSDM)

==================================================================

The Tenth Workshop in the MSDM series
May 5, 2015, 14:00 - 18:30
Istanbul, Turkey
http://masplan.org/msdm2015:program


Location & Organization
------------------------------------------
The 8th MSDM workshop is held in conjunction with AAMAS-2015 (the 14th
International Joint Conference on Autonomous Agents and Multiagent
Systems), in Istanbul, Turkey. It will take place on May 5, 2015, preceding
the technical program of the AAMAS conference.


Attending MSDM & AAMAS 2015
------------------------------------------
For registration, please visit the following link:
http://www.aamas2015.com/en/REGISTRATION.html


Workshop Overview
------------------------------------------
In sequential decision making, an agent's objective is to choose actions
based on observations of its environment that will maximize the expected
performance over multiple steps. In worlds where actions are not
deterministic or observations incomplete, Markov Decision Processes (MDPs)
and Partially-Observable MDPs (POMDPs) serve as the basis for principled
approaches to single-agent sequential decision making. Extending these
models to systems of multiple agents has become the subject of an
increasingly active area of research. Over the past decade, a variety of
different multiagent models have emerged for cooperative agents (e.g.,
MMDP, MTDP and Dec-POMDP) and self-interested agents (e.g., I-POMDP and
POSG), and under an assortment of different assumptions about agents'
capabilities to communicate (e.g., Dec-MDP-Com, COM-MTDP), observe (e.g.,
Dec-MDP) and influence other agents (e.g., TI-Dec-MDP, ND-POMDP). The high
computational complexity has driven researchers to develop multiagent
planning and learning methods that exploit structure in agents'
interactions, methods geared toward efficient approximate solutions,
decentralized methods that distribute computation among the agents, and new
ways for agents to model and reason about their interactions with other
agents.

The purpose of this workshop is to bring together current and future
researchers in the field of multiagent sequential decision making (MSDM) to
present and discuss promising new work, to identify recent trends in model
and algorithmic development, and to establish important directions and
goals for further research and collaboration. This workshop also strives to
develop consensus within the community on benchmarks and evaluation
methodology in order to compare and validate alternative approaches and
models. Further, we hope that these active discussions and collaborations
will help us to overcome the challenges of successfully applying MSDM
methods to real-world problems in security, sustainability, public safety
and health, and other challenging domains.


Accepted Papers
------------------------------------------
Daniel Claes, Philipp Robbel, Frans Oliehoek, Karl Tuyls, Daniel Hennes and
Wiebe van der Hoek. Effective Approximations for Multi-Robot Coordination
in Spatially Distributed Tasks.

Frits de Nijs, Matthijs Spaan and Mathijs de Weerdt. A Challenge for
Multi-Agent Sequential Decision Problems: Global Resource Constraints.

Frans Oliehoek, Matthijs Spaan and Stefan Witwicki. Influence-Optimistic
Local Values for Multiagent Planning.

Yu Qiu, Prashant Doshi and Makoto Yokoo. On the Complexity of Verifying
Finite State Equilibrium in Repeated Games with Imperfect Private
Monitoring Using POMDPs.

Joris Scharpff, Diederik Roijers, Frans Oliehoek, Matthijs Spaan and
Mathijs de Weerdt. Solving Multi-agent MDPs Optimally with Conditional
Return Graphs.

Erwin Walraven and Matthijs Spaan. A Scenario State Representation for
Scheduling Deferrable Loads under Wind Uncertainty.

Auke Wiggers, Frans Oliehoek and Diederik Roijers. Structure in the Value
Function of Zero-sum Games of Incomplete Information.


Organizing Committee
----------------------------------------
Aurélie Beynier, Université Pierre et Marie Curie
Prashant Doshi, University of Georgia
Brenda Ng, Lawrence Livermore National Laboratory
Jason Sleight, University of Michigan


Advisory Committee
----------------------------------------
Chris Amato, MIT
Prashant Doshi, University of Georgia
Ed Durfee, University of Michigan
Abdel-Illah Mouaddib, University of Caen Basse-Normandie
Frans Oliehoek, University of Amsterdam
Zinovi Rabinovich, Mobileye
Matthijs Spaan, Delft University of Technology
Milind Tambe, University of Southern California
Pradeep Varakantham, Singapore Management University
Stefan Witwicki, Ecole Polytechnique Federale de Lausanne
Makoto Yokoo, Kyushu University
Shlomo Zilberstein, University of Massachusetts Amherst


Program Committee
----------------------------------------
Martin Allen, University of Wisconsin-La Crosse Computer Science
Chris Amato, MIT
Bikramjit Banerjee, University of Southern Mississippi
Aurélie Beynier, Université Pierre et Marie Curie
Olivier Buffet, INRIA
François Charpillet, INRIA
Prashant Doshi, University of Georgia
Ed Durfee, University of Michigan
Alberto Finzi, University of Napoli “Federico II”
Akshat Kumar, Singapore Management University
Jun-Young Kwak, Spokeo
Francisco Melo, Instituto Superior Técnico/INESC-ID
Joao Messias, Instituto Superior Técnico
Hala Mostafa, Singapore Management University
Abdel-Illah Mouaddib, University of Caen Basse-Normandie
Enrique Munoz de Cote, INAOE
Brenda Ng, Lawrence Livermore National Laboratory
Frans Oliehoek, University of Amsterdam
Praveen Paruchuri, CMU
David Pynadath, University of Southern California
Zinovi Rabinovich, Mobileye
Anita Raja, University of North Carolina
Jason Sleight, University of Michigan
Ekhlas Sonu, University of Georgia
Matthijs Spaan, Delft University of Technology
Katia Sycara, CMU
Karl Tuyls, University of Liverpool
Pradeep Varakantham, Singapore Management University
Stefan Witwicki, Ecole Polytechnique Federale de Lausanne
Makoto Yokoo, Kyushu University
Chongjie Zhang, University of Massachusetts Amherst
Shlomo Zilberstein, University of Massachusetts Amherst