[robotics-worldwide] MSDM 2011: Call for Participation

Jun-young Kwak junyounk at usc.edu
Tue Mar 15 14:02:12 PDT 2011


Dear colleagues:

We cordially invite you to attend the 6th MSDM workshop, which is held in
conjunction with AAMAS 2011 (the 10th International Joint Conference on
Autonomous Agents and Multiagent Systems), in Taipei, Taiwan.

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.

It will take place on May 3, 2011, preceding the AAMAS conference. Please
join us and many of others in this community. We look forward to seeing you
there!


Best regards,
The MSDM 2011 Organizers


==================================================================
                 CALL FOR PARTICIPATION
                   AAMAS 2011 Workshop
Multiagent Sequential Decision-Making in Uncertain Domains (MSDM)
==================================================================

Sixth Workshop in the MSDM series
May 3, 2010, 9:00am - 6:00pm
Taipei, Taiwan
http://teamcore.usc.edu/junyounk/msdm2011/


Location & Organization
------
The 6th MSDM workshop is held in conjunction with AAMAS-2011 (the 10th
International Joint Conference on Autonomous Agents and Multiagent Systems),
in Taipei, Taiwan. It will take place on May 3, 2011, preceding the AAMAS
conference.


Attending MSDM & AAMAS 2011
------
For the registration, please visit the following link:
http://www.aamas2011.tw/AttendingAAMAS2011.html


Workshop Overview
------
In sequential decision making, an agent's objective is to choose actions,
based on its observations of the world, which will maximize its performance
over the course of a series of such decisions. In worlds where action
consequences are nondeterministic 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 and
a variety of different multiagent models have emerged (e.g., the MMDP,
Dec-POMDP, MTDP, I-POMDP, and POSG).  The high computational complexity of
these models has also driven researchers to develop multiagent planning and
learning methods that exploit structure in agents' interactions, methods
geared towards efficient approximate solutions, and decentralized methods
that distribute computation among the agents.

The primary purpose of this workshop is to bring together researchers in the
field of MSDM to present and discuss new work, to identify recent trends in
model and algorithmic development, and to establish important directions and
goals for further research and collaboration. A secondary goal is to help
address an important challenge; in order to
make the field more accessible to newcomers, and to facilitate
multidisciplinary collaboration, we seek to bring order in the large number
of models and methods that have been introduced over the last decade.  The
workshop also aims to discuss interesting and challenging application areas
(e.g., cooperative robotics, distributed sensor and/or communication
networks, decision support systems) and suitable evaluation methodologies.


Invited Talk
------
Rajiv Maheswaran (University of Southern California)
Details: TBA


Accepted Papers
------
Zhengyu Yin, Milind Tambe and Kanna Rajan. Solving Continuous-Time
Transition-Independent DEC-MDP with Temporal Constraints
Arnaud Canu and Mouaddib Abdel-Illah. Dynamic Local Interaction Model:
framework and algorithms.
Jun-young Kwak, Rong Yang, Zhengyu Yin, Matthew E. Taylor and Milind Tambe.
Robust Execution-time Coordination in DEC-POMDPs Under Model Uncertainty

Yifeng Zeng, Yingke Chen and Prashant Doshi. Approximating Behavioral
Equivalence of Models Using Top-K Policy Paths
Matthijs Spaan, Frans Oliehoek and Christopher Amato. Scaling Up Optimal
Heuristic Search in Dec-POMDPs via Incremental Expansion
Matthew Brown, Emma Bowring, Shira Epstein, Mufaddal Jhaveri, Rajiv
Maheswaran, Parag Mallick, Michelle Povinelli and Milind Tambe. Applying
Multi-Agent Techniques to Cancer Modeling
Pradeep Varakantham, Shih-Fen Cheng and Nguyen Thi Duong. Decentralized
Decision support for an agent population in dynamic and uncertain domains
Jesus Capitan, Matthijs Spaan, Luis Merino and Anibal Ollero. Decentralized
Multi-Robot Cooperation with Auctioned POMDPs
Laetitia Matignon, Laurent Jeanpierre and Abdel-Illah Mouaddib. Distributed
Value Functions for Multi-Robot Exploration: a Position Paper
Hala Mostafa and Victor Lesser. A Compact Mathematical Formulation For
Problems With Structured Agent Interactions
Scott Alfeld, Kumera Berkele, Stephen Desalvo, Tong Pham, Daniel Russo, Lisa
Yan and Matthew E. Taylor. Reducing the Team Uncertainty Penalty: Empirical
and Theoretical Approaches
Inn-Tung Chen, Satinder Singh, Edmund Durfee and Stefan Witwicki.
Influence-Based Multiagent Planning under Reward Uncertainty


Topics
------
Multiagent sequential decision making comprises (1) problem representation,
(2) planning, (3) coordination, and (4) learning during execution. The MSDM
workshop addresses this full range of aspects. Topics of particular interest
include:

- Novel representations, algorithms and complexity results.
- Comparisons of algorithms.
- Relationships between models and their assumptions.
- Decentralized vs. centralized planning approaches.
- Online vs. offline planning.
- Communication and coordination during execution.
- Dealing with...
  ...large numbers of agents.
  ...large numbers of / continuous states, observations and actions.
  ...long decision horizons.
- (Reinforcement) learning in partially observable multiagent systems.
- Cooperative, competitive, and self-interested agents.
- Application domains.
- Benchmarks and evaluation methodologies.
- Standardization of software.
- Past trends and future directions of MSDM research.
- High-level principles in MDSM.


Organizing Committee
--------------------
Prashant Doshi        University of Georgia
Abdel-Illah Mouaddib  University of Caen Basse-Normandie
Stefan Witwicki       University of Michigan
Jun-young Kwak        University of Southern California
Frans A. Oliehoek     MIT


Program Committee
-----------------
Martin Allen          University of Wisconsin - La Crosse
Christopher Amato     Aptima, Inc.
Aurelie Beynier       University Pierre and Marie Curie (Paris 6)
Brahim Chaib-draa     Laval University
Georgios Chalkiadakis University of Southampton
Alessandro Farinelli  University of Verona
Piotr Gmytrasiewicz   University of Illinois Chicago
Rajiv Maheswaran      University of Southern California
Francisco S. Melo     INESC-ID Lisboa
Hala Mostafa          University of Massachussetts, Amherst
Enrique Munoz de Cote University of Southampton
Brenda Ng             Lawrence Livermore National Laboratory
Simon Parsons         Brooklyn College
David Pynadath        Institute for Creative Technologies, USC
Xia Qu                University of Georgia
Zinovi Rabinovich     Bar Ilan University
Paul Scerri           Carnegie Mellon University
Jiaying Shen          SRI International
Matthijs Spaan        Institute for Systems and Robotics - Lisbon
Karl Tuyls            Maastricht University
Pradeep Varakantham   Singapore Management University
Jianhui Wu            Amazon
Makoto Yokoo          Kyushu University
Shlomo Zilberstein    University of Massachusetts, Amherst

-- 
Jun-young Kwak
TEAMCORE Research Group
Computer Science Department
University of Southern California
Office: 213-740-9560
Email:  junyounk at usc.edu


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