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CFP: MSDM 2012: Call for Participation
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Jun-young Kwak
Apr 26, 2012, 3:28:00 AM4/26/12
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Dear colleagues:
We cordially invite you to attend the 7th MSDM workshop, which is held
in conjunction with AAMAS 2012 (the 11th International Joint
Conference on Autonomous Agents and Multiagent Systems), in Valencia,
Spain.
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 June 5, 2012, 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 2012 Organizers
==================================================================
CALL FOR
PARTICIPATION
AAMAS 2012
Workshop
Multiagent Sequential Decision Making Under
Uncertainty (MSDM)
==================================================================
The Seventh Workshop in the MSDM series
June 5, 2012, 9:00am - 6:30pm
Valecia, Spain
http://gaips.inesc-id.pt/~switwicki/msdm2012/
Location & Organization
------
The 7th MSDM workshop is held in conjunction with AAMAS-2012 (the 11th
International Joint Conference on Autonomous Agents and Multiagent
Systems), in Valencia, Spain. It will take place on June 5, 2012,
preceding the AAMAS conference.
Attending MSDM & AAMAS 2012
------
For the registration, please visit the following link:
http://aamas2012.webs.upv.es/index.php?option=com_content&view=article&id=30&Itemid=33
Workshop Overview
------
In sequential decision making, an agent's objective is to choose
actions, based on its observations of the world, in such a way that it
expects to optimize its performance measure over the course of a
series of such decisions. In environments where action consequences
are non-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 and a variety of models have emerged (e.g., the MMDP, Dec-
POMDP, MTDP, I-POMDP, and POSG). The high computational complexity of
these models has driven researchers to develop multiagent planning and
learning methods that exploit the structure present in agents'
interactions, methods that provide efficient approximate solutions,
and methods that distribute computation among the agents.
The MSDM workshop serves several purposes. The primary purpose is to
bring together researchers in the field of MSDM to present and discuss
new work and preliminary ideas. Moreover, we aim to identify recent
trends, to establish important directions for future research, and to
discuss some of the topics mentioned below such as challenging
application areas (e.g., cooperative robotics, distributed sensor and/
or communication networks, decision support systems) and suitable
evaluation methodologies. Finally, a goal of the workshop is to make
the field more accessible to newcomers, by seeking to bring order in
the large number of models and methods that have been introduced over
the last decade.
Invited Talk
------
Prof. Makoto Yokoo (Kyushu University)
Details: TBA
Accepted Papers
------
-Yongjoon Joe, Atsushi Iwasaki, Michihiro Kandori, Ichiro Obara and
Makoto Yokoo. Automated Equilibrium Analysis of Repeated Games with
Private Monitoring: A POMDP Approach
-Bikramjit Banerjee, Jeremy Lyle, Landon Kraemer and Rajesh
Yellamraju. Solving Finite Horizon Decentralized POMDPs by Distributed
Reinforcement Learning
-Manuel Arias, Francisco Javier Diez, Miguel Angel Palacios-Alonso,
Mar Yebra and Jorge Fernandez. POMDPs in OpenMarkov and ProbModelXML
-Chongjie Zhang and Victor Lesser. Coordinated Multi-Agent Learning
for Decentralized POMDPs
-Francisco S. Melo, Matthijs Spaan and Stefan Witwicki. Exploiting
Sparse Interactions for Optimizing Communication in Dec-MDPs
-Steven De Jong and Marc Ponsen. Rapid Online Opponent Modeling
-Frans Oliehoek and Matthijs Spaan. Tree-based Pruning for Multiagent
POMDPs with Delayed Communication
-Jilles Dibangoye, Christopher Amato and Arnaud Doniec. Improved
Solution of Decentralized MDPs through Heuristic Search
-Robert Cohn, Edmund Durfee and Satinder Singh. Planning Delayed-
Response Queries and Transient Policies under Reward Uncertainty
-Zinovi Rabinovich. Strategic behaviour under constrained autonomy
-Pradeep Varakantham, William Yeoh, Prasanna Velagapudi, Katia Sycara,
Paul Scerri. Prioritized Shaping of Models for Solving DEC-POMDPs
Topics
------
Multiagent sequential decision making comprises (1) problem
representation, (2) planning, (3) coordination, and (4) learning. The
MSDM workshop addresses this full range of aspects. Topics of
particular interest include:
- Challenging conventional assumptions
...model specification: where do the models come from?
...what is an appropriate level of abstraction for decision making?
- 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
- High-level principles High-level principles in MSDM: past trends and
future directions
Organizing Committee
--------------------
Prashant Doshi University of Georgia
Stefan Witwicki INESC-ID, Instituto Superior Tecnico
Jun-young Kwak University of Southern California
Frans A. Oliehoek Maastricht University
Akshat Kumar University of Massachusetts Amherst
Program Committee
-----------------
Christopher Amato Aptima, Inc.
Raphen Becker Google
Daniel Bernstein University of Massachusetts Amherst
Aurelie Beynier University Pierre and Marie Curie (Paris 6)
Alan Carlin University of Massachusetts Amherst
Brahim Chaib-Draa Laval University
Georgios Chalkiadakis Technical University of Crete
Francois Charpillet INRIA
Ed Durfee University of Michigan
Alessandro Farinelli University of Verona
Alberto Finzi Universita di Napoli
Claudia Goldman GM Advanced Technical Center Israel
Michail Lagoudakis Technical University of Crete
Janusz Marecki IBM T.J. Watson Research Center
Francisco S. Melo INESC-ID Lisboa
Hala Mostafa BBN Technologies
Abdel-Illah Mouaddib Universit de Caen
Enrique Munoz De Cote INAOE, Mexico
Brenda Ng Lawrence Livermore National Laboratory
Praveen Paruchuri Carnegie Mellon University
David Pynadath University of Southern California
Xia Qu University of Georgia
Zinovi Rabinovich Bar-Ilan University
Anita Raja University of North Carolina at Charlotte
Paul Scerri Carnegie Mellon University
Jiaying Shen SRI International, Inc.
Matthijs Spaan Delft University of Technology
Katia Sycara Carnegie Mellon University
Karl Tuyls Maastricht University
Pradeep Varakantham Singapore Management University
Jianhui Wu Amazon
Makoto Yokoo Kyushu University
Chongjie Zhang University of Massachusetts Amherst
Shlomo Zilberstein University of Massachusetts Amherst
[ comp.ai is moderated ... your article may take a while to appear. ]
We cordially invite you to attend the 7th MSDM workshop, which is held
in conjunction with AAMAS 2012 (the 11th International Joint
Conference on Autonomous Agents and Multiagent Systems), in Valencia,
Spain.
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 June 5, 2012, 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 2012 Organizers
==================================================================
CALL FOR
PARTICIPATION
AAMAS 2012
Workshop
Multiagent Sequential Decision Making Under
Uncertainty (MSDM)
==================================================================
The Seventh Workshop in the MSDM series
June 5, 2012, 9:00am - 6:30pm
Valecia, Spain
http://gaips.inesc-id.pt/~switwicki/msdm2012/
Location & Organization
------
The 7th MSDM workshop is held in conjunction with AAMAS-2012 (the 11th
International Joint Conference on Autonomous Agents and Multiagent
Systems), in Valencia, Spain. It will take place on June 5, 2012,
preceding the AAMAS conference.
Attending MSDM & AAMAS 2012
------
For the registration, please visit the following link:
http://aamas2012.webs.upv.es/index.php?option=com_content&view=article&id=30&Itemid=33
Workshop Overview
------
In sequential decision making, an agent's objective is to choose
actions, based on its observations of the world, in such a way that it
expects to optimize its performance measure over the course of a
series of such decisions. In environments where action consequences
are non-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 and a variety of models have emerged (e.g., the MMDP, Dec-
POMDP, MTDP, I-POMDP, and POSG). The high computational complexity of
these models has driven researchers to develop multiagent planning and
learning methods that exploit the structure present in agents'
interactions, methods that provide efficient approximate solutions,
and methods that distribute computation among the agents.
The MSDM workshop serves several purposes. The primary purpose is to
bring together researchers in the field of MSDM to present and discuss
new work and preliminary ideas. Moreover, we aim to identify recent
trends, to establish important directions for future research, and to
discuss some of the topics mentioned below such as challenging
application areas (e.g., cooperative robotics, distributed sensor and/
or communication networks, decision support systems) and suitable
evaluation methodologies. Finally, a goal of the workshop is to make
the field more accessible to newcomers, by seeking to bring order in
the large number of models and methods that have been introduced over
the last decade.
Invited Talk
------
Prof. Makoto Yokoo (Kyushu University)
Details: TBA
Accepted Papers
------
-Yongjoon Joe, Atsushi Iwasaki, Michihiro Kandori, Ichiro Obara and
Makoto Yokoo. Automated Equilibrium Analysis of Repeated Games with
Private Monitoring: A POMDP Approach
-Bikramjit Banerjee, Jeremy Lyle, Landon Kraemer and Rajesh
Yellamraju. Solving Finite Horizon Decentralized POMDPs by Distributed
Reinforcement Learning
-Manuel Arias, Francisco Javier Diez, Miguel Angel Palacios-Alonso,
Mar Yebra and Jorge Fernandez. POMDPs in OpenMarkov and ProbModelXML
-Chongjie Zhang and Victor Lesser. Coordinated Multi-Agent Learning
for Decentralized POMDPs
-Francisco S. Melo, Matthijs Spaan and Stefan Witwicki. Exploiting
Sparse Interactions for Optimizing Communication in Dec-MDPs
-Steven De Jong and Marc Ponsen. Rapid Online Opponent Modeling
-Frans Oliehoek and Matthijs Spaan. Tree-based Pruning for Multiagent
POMDPs with Delayed Communication
-Jilles Dibangoye, Christopher Amato and Arnaud Doniec. Improved
Solution of Decentralized MDPs through Heuristic Search
-Robert Cohn, Edmund Durfee and Satinder Singh. Planning Delayed-
Response Queries and Transient Policies under Reward Uncertainty
-Zinovi Rabinovich. Strategic behaviour under constrained autonomy
-Pradeep Varakantham, William Yeoh, Prasanna Velagapudi, Katia Sycara,
Paul Scerri. Prioritized Shaping of Models for Solving DEC-POMDPs
Topics
------
Multiagent sequential decision making comprises (1) problem
representation, (2) planning, (3) coordination, and (4) learning. The
MSDM workshop addresses this full range of aspects. Topics of
particular interest include:
- Challenging conventional assumptions
...model specification: where do the models come from?
...what is an appropriate level of abstraction for decision making?
- 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
- High-level principles High-level principles in MSDM: past trends and
future directions
Organizing Committee
--------------------
Prashant Doshi University of Georgia
Stefan Witwicki INESC-ID, Instituto Superior Tecnico
Jun-young Kwak University of Southern California
Frans A. Oliehoek Maastricht University
Akshat Kumar University of Massachusetts Amherst
Program Committee
-----------------
Christopher Amato Aptima, Inc.
Raphen Becker Google
Daniel Bernstein University of Massachusetts Amherst
Aurelie Beynier University Pierre and Marie Curie (Paris 6)
Alan Carlin University of Massachusetts Amherst
Brahim Chaib-Draa Laval University
Georgios Chalkiadakis Technical University of Crete
Francois Charpillet INRIA
Ed Durfee University of Michigan
Alessandro Farinelli University of Verona
Alberto Finzi Universita di Napoli
Claudia Goldman GM Advanced Technical Center Israel
Michail Lagoudakis Technical University of Crete
Janusz Marecki IBM T.J. Watson Research Center
Francisco S. Melo INESC-ID Lisboa
Hala Mostafa BBN Technologies
Abdel-Illah Mouaddib Universit de Caen
Enrique Munoz De Cote INAOE, Mexico
Brenda Ng Lawrence Livermore National Laboratory
Praveen Paruchuri Carnegie Mellon University
David Pynadath University of Southern California
Xia Qu University of Georgia
Zinovi Rabinovich Bar-Ilan University
Anita Raja University of North Carolina at Charlotte
Paul Scerri Carnegie Mellon University
Jiaying Shen SRI International, Inc.
Matthijs Spaan Delft University of Technology
Katia Sycara Carnegie Mellon University
Karl Tuyls Maastricht University
Pradeep Varakantham Singapore Management University
Jianhui Wu Amazon
Makoto Yokoo Kyushu University
Chongjie Zhang University of Massachusetts Amherst
Shlomo Zilberstein University of Massachusetts Amherst
[ comp.ai is moderated ... your article may take a while to appear. ]
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