[robotics-worldwide] MSDM 2011: Call for Participation
junyounk at usc.edu
Tue Mar 15 14:02:12 PDT 2011
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
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
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
Attending MSDM & AAMAS 2011
For the registration, please visit the following link:
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.
Rajiv Maheswaran (University of Southern California)
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
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
- 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.
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
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
TEAMCORE Research Group
Computer Science Department
University of Southern California
Email: junyounk at usc.edu
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