[robotics-worldwide] [Meetings] Call for papers: NIPS 2016 Workshop on Learning, Inference and Control of Multi-Agent Systems

Tuyls, Karl K.Tuyls at liverpool.ac.uk
Thu Aug 25 07:24:25 PDT 2016


NIPS 2016 Workshop on Learning, Inference and Control of Multi-Agent Systems
10 December 2016, Barcelona, Spain
https://urldefense.proofpoint.com/v2/url?u=https-3A__sites.google.com_site_malicnips2016&d=DQIFAw&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=X0xw3Yafy-oZ-jDTnj-JNn8iQDMcBmSuWtNiKLj5pQs&s=Dd1q6VJdTUvDSffHVpZpFS0wXEjNGIb3ghv_wozes2g&e= 
Submission deadline: 21 October 2016

Organizers: Thore Graepel, Marc Lanctot, Joel Leibo, Guy Level, Janusz Marecki, Frans Oliehoek, Karl Tuyls

Multi-agent learning is of crucial importance to the future of computational intelligence and pose difficult and fascinating problems that need to be addressed across disciplines. The paradigm shift from single-agent to multi-agent systems will be pervasive and will require efforts across different fields including machine learning, cognitive science, robotics, natural computing, and (evolutionary) game theory. In this workshop we aim to bring together researchers from these different fields to discuss the current state of the art, future avenues and visions for work regarding theory and practice of multi-agent learning, inference, and decision-making.

* Call for Papers:

Authors can submit a 2-6 pages paper (excluding references) that will be reviewed by the organization committee. The papers can present new work or give a summary of recent work of the author(s). All papers will be considered for the poster sessions. Outstanding long papers (4-6 pages) will also be considered for a 20 minutes oral presentation.

Topics considered for contribution include:
Multi-agent reinforcement learning
Deep multi-agent learning
Theory of Mind
Multi-agent communication
POMDPs, Dec-POMDPS and partially observable stochastic games
Multi-agent robotics, human-robot collaboration, swarm robotics
Game theory, mechanism design, algorithms for computing Nash equilibria and other solution concepts
Bioinspired approaches, swarm intelligence and collective intelligence
Co-evolution, evolutionary dynamics and culture
Ad hoc teamwork
Learning from demonstrations, apprenticeship learning, and inverse reinforcement learning

Submissions should be sent per email to malic.nips2016 at gmail.com

Please use the standard NIPS style-file for the submissions. Your submission should be anonymous, so please do not add the author names to the PDF.

* Format:

The workshop will serve as a platform to bring researchers from the different relevant communities together and foster discussions about the next necessary developments for multi-agent systems. The workshop will consists of six invited talks, a few contributed talks and a poster session.

* Confirmed Speakers:
Chris Amato
Michael Bowling
Josh Tenenbaum
Manuela Veloso
Shimon Whiteson
Richard Watson

* Program Committee:
Daan Bloembergen
Sander Bohte
Chrisantha Fernando
Vicenc Gomez
Bert Kappen
Michael Littman
Gerhard Neumann
Ann Nowe
Olivier Pietquin
Matt Taylor
Kagan Tumer
Gerhard Weiss


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