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<b class=""><span lang="EN" class="" style="color: rgb(48, 48, 48);">Workshop Submission Deadline Extension</span></b><font color="#303030" class=""> <span class="" style="caret-color: rgb(48, 48, 48);">—</span> </font><span class="" style="caret-color: rgb(48, 48, 48); color: rgb(48, 48, 48);">Apologies
for cross-posting</span></p>
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<span lang="EN" class="" style="color: rgb(48, 48, 48);">CFP [</span><span lang="EN" class="">OptLearnMAS<span class="" style="color: rgb(48, 48, 48);"> 2022] The 13<sup class="">th</sup> Workshop on Optimization and Learning in Multiagent Systems</span></span></p>
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<b class=""><span lang="EN" class="" style="font-size: 11pt; line-height: 16.866666793823242px;">Main Track</span></b></h4>
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<li class="">Submission Deadline: March 19 (23:59 UTC-12)</li><li class="">Author Notification: April 23 (23:59 UTC-12)</li><li class="">Poster and Presentations Due: May 5 (23:59 UTC-12)</li><li class="">OptLearnMAS-22: May 9 or 10 (A full-day workshop at AAMAS 2022)</li></ul>
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<b class=""><span lang="EN" class="" style="font-size: 11pt; line-height: 16.866666793823242px;">Fast Track (Rejected AAMAS or IJCAI papers)</span></b></h4>
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<li class=""><span lang="EN" class="">Submission Deadline: </span><span class="" style="border: 1pt none windowtext; padding: 0in;">April 23 (23:59 UTC-12)</span></li><li class=""><span class="">Author Notification: April 28 (23:59 UTC-12)</span> </li></ul>
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<span lang="EN" class="">Website: <a href="https://optlearnmas22.github.io/" class="">https://optlearnmas22.github.io/</a><o:p class=""></o:p></span></p>
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<span lang="EN" class="">AAMAS Website: <a href="https://aamas2022-conference.auckland.ac.nz/" class="">https://aamas2022-conference.auckland.ac.nz/</a><o:p class=""></o:p></span></p>
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<span lang="EN" class="" style="background-color: white;">Submission Website: </span><span lang="EN" class=""><span class="" style="border: 1pt none windowtext; padding: 0in; background-color: white;"><a href="https://easychair.org/conferences/?conf=optlearnmas22" class="">https://easychair.org/conferences/?conf=optlearnmas22</a></span></span></p>
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<span lang="EN" class=""><b class="">UPDATE</b>: AAMAS 2022 and the OptLearnMAS-22 to be held as fully virtual events.</span> </p>
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<b class=""><span lang="EN" class="">Scope<o:p class=""></o:p></span></b></p>
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<span lang="EN" class="">Stimulated by various emerging applications involving agents to solve complex problems in real-world domains, such as intelligent sensing systems for the Internet of the Things (IoT), automated configurators for critical infrastructure
networks, and intelligent resource allocation for social domains (e.g., security games for the deployment of security resources or auctions/procurements for allocating goods and services), agents in these domains commonly leverage different forms optimization
and/or learning to solve complex problems.</span></p>
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<span lang="EN" class="">The goal of the workshop is to provide researchers with a venue to discuss models or techniques for tackling a variety of multi-agent optimization problems. We seek contributions in the general area of multi-agent optimization, including
distributed optimization, coalition formation, optimization under uncertainty, winner determination algorithms in auctions and procurements, and algorithms to compute Nash and other equilibria in games. Of particular emphasis are contributions at the intersection
of optimization and learning. See below for a (non-exhaustive) list of topics.</span></p>
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<span lang="EN" class="">This workshop invites works from different strands of the multi-agent systems community that pertain to the design of algorithms, models, and techniques to deal with multi-agent optimization and learning problems or problems that can
be effectively solved by adopting a multi-agent framework.</span></p>
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<b class=""><span lang="EN" class="">Topics</span></b></p>
<ul class="" style="caret-color: rgb(0, 0, 0); color: rgb(0, 0, 0); font-family: Palatino-Roman;">
<li class="">The workshop organizers invite paper submissions on the following (and related) topics:</li><li class=""><span lang="EN" class="" style="text-indent: -0.25in; font-family: Symbol;"><span class="" style="font-stretch: normal; font-size: 7pt; line-height: normal; font-family: "Times New Roman";"> </span></span><span lang="EN" class="" style="text-indent: -0.25in;">Optimization
for learning (strategic and non-strategic) agents</span></li><li class=""><span lang="EN" class="" style="text-indent: -0.25in;">Learning for multi-agent optimization problems</span></li><li class=""><span lang="EN" class="" style="text-indent: -0.25in;">Distributed constraint satisfaction and optimization</span></li><li class=""><span lang="EN" class="" style="text-indent: -0.25in;">Winner determination algorithms in auctions and procurements</span></li><li class=""><span lang="EN" class="" style="text-indent: -0.25in;">Coalition or group formation algorithms</span></li><li class=""><span lang="EN" class="" style="text-indent: -0.25in;">Algorithms to compute Nash and other equilibria in games</span></li><li class=""><span lang="EN" class="" style="text-indent: -0.25in;">Optimization under uncertainty</span></li><li class=""><span lang="EN" class="" style="text-indent: -0.25in;">Optimization with incomplete or dynamic input data</span></li><li class=""><span lang="EN" class="" style="text-indent: -0.25in;">Algorithms for real-time applications</span></li><li class=""><span lang="EN" class="" style="text-indent: -0.25in;">Cloud, distributed and grid computing</span></li><li class=""><span lang="EN" class="" style="text-indent: -0.25in;">Applications of learning and optimization in societally beneficial domains</span></li><li class=""><span lang="EN" class="" style="text-indent: -0.25in;">Multi-agent planning Multi-robot coordination</span></li></ul>
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<span lang="EN" class="">The workshop is of interest both to researchers investigating applications of multi-agent systems to optimization problems in large, complex domains, as well as to those examining optimization and learning problems that arise in systems
comprised of many autonomous agents. In so doing, this workshop aims to provide a forum for researchers to discuss common issues that arise in solving optimization and learning problems in different areas, to introduce new application domains for multi-agent
optimization techniques, and to elaborate common benchmarks to test solutions.</span><span class=""> </span></p>
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<span lang="EN" class="">Finally, the workshop will welcome papers that describe the release of benchmarks and data sets that can be used by the community to solve fundamental problems of interest, including in machine learning and optimization for health systems
and urban networks, to mention but a few examples.</span></p>
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<b class=""><span lang="EN" class="">Format<o:p class=""></o:p></span></b></p>
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<span lang="EN" class="">The workshop will be a one-day meeting. It will include a number of technical sessions, a virtual poster session where presenters can discuss their work, with the aim of further fostering collaborations, multiple invited speakers covering
crucial challenges for the field of multiagent optimization and learning.</span></p>
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<b class=""><span lang="EN" class="">Submission Information and Types<o:p class=""></o:p></span></b></p>
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<span lang="EN" class="" style="background-color: white;">Submission Website: </span><span lang="EN" class=""><span class="" style="border: 1pt none windowtext; padding: 0in; background-color: white;"><a href="https://easychair.org/conferences/?conf=optlearnmas22" class="">https://easychair.org/conferences/?conf=optlearnmas22</a></span></span></p>
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<strong class=""><span lang="EN" class="" style="font-family: Arial, sans-serif; border: 1pt none windowtext; padding: 0in;">Technical Papers</span></strong><span lang="EN" class="">: Full-length research papers of up to 8 pages (excluding references and appendices)
detailing high quality work in progress or work that could potentially be published at a major conference.<o:p class=""></o:p></span></li><li class="MsoNormal" style="background-color: white; vertical-align: baseline;">
<strong class=""><span lang="EN" class="" style="font-family: Arial, sans-serif; border: 1pt none windowtext; padding: 0in;">Short Papers</span></strong><span lang="EN" class="">: Position or short papers of up to 4 pages (excluding references and appendices)
that describe initial work or the release of privacy-preserving benchmarks and datasets on the topics of interest.</span></li></ul>
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<span class="" style="font-size: 11pt; line-height: 16.866666793823242px; font-family: Arial, sans-serif;">All papers must be submitted in PDF format, using the </span><span class=""><a href="https://aamas2022-conference.auckland.ac.nz/files/2021/07/AAMAS-2022-Formatting-Instructions.zip" class=""><span class="" style="font-size: 11pt; line-height: 16.866666793823242px; font-family: Arial, sans-serif; color: black; border: 1pt none windowtext; padding: 0in;">AAMAS-22
author kit</span></a></span><span class="" style="font-size: 11pt; line-height: 16.866666793823242px; font-family: Arial, sans-serif;">. Submissions should include the name(s), affiliations, and email addresses of all authors.<br class="">
Submissions will be refereed on the basis of technical quality, novelty, significance, and clarity. Each submission will be thoroughly reviewed by at least two program committee members.<o:p class=""></o:p></span></div>
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Submissions of papers rejected from the AAMAS 2022 and IJCAI 2022 technical program are welcomed.<o:p class=""></o:p></span></div>
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<b class=""><span lang="EN" class="" style="font-size: 11pt; line-height: 16.866666793823242px;">Fast Track (Rejected AAMAS or IJCAI papers)<o:p class=""></o:p></span></b></h4>
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<span class="" style="font-size: 11pt; line-height: 16.866666793823242px; font-family: Arial, sans-serif;">Rejected AAMAS or IJCAI papers with *average* scores of at least 5.0 may be submitted to OptLearnMAS along with previous reviews and scores and an optional
letter indicating how the authors have addressed the reviewers comments.<o:p class=""></o:p></span></div>
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<span class="" style="font-size: 11pt; line-height: 16.866666793823242px; font-family: Arial, sans-serif;"> </span></div>
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<span class="" style="font-size: 11pt; line-height: 16.866666793823242px; font-family: Arial, sans-serif;">The deadline for the fast track is as follows:</span></div>
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<li class=""><span class="">AAMAS/IJCAI Fast Track Submission Deadline: </span><span class="" style="border: 1pt none windowtext; padding: 0in;">April 23 (23:59 UTC-12)</span></li><li class=""><span class="">AAMAS/IJCAI Fast Track Acceptance Notification: </span><span class="" style="border: 1pt none windowtext; padding: 0in;">April 28 (23:59 UTC-12)</span></li></ul>
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<span class="" style="font-size: 11pt; line-height: 16.866666793823242px; font-family: Arial, sans-serif;"> </span></div>
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<span class="" style="font-size: 11pt; line-height: 16.866666793823242px; font-family: Arial, sans-serif;">Please use the submission link above and indicate that the submission is a resubmission from of an AAMAS/IJCAI rejected paper. Also OptLearnMAS submission,
reviews and optional letter need to be compiled into a single pdf file.<br class="">
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<o:p class=""></o:p></span></div>
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<span class="" style="font-size: 11pt; line-height: 16.866666793823242px; font-family: Arial, sans-serif;">These submissions will not undergo the regular review process, but a light one, performed by the chairs, and will be accepted if the previous reviews
are judged to meet the workshop standard.<o:p class=""></o:p></span></div>
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<b class=""><span lang="EN" class="" style="font-size: 11pt; line-height: 16.866666793823242px;">Best Papers<o:p class=""></o:p></span></b></h4>
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<span lang="EN" class="" style="font-size: 11pt; line-height: 16.866666793823242px;"><br class="">
</span></div>
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<span lang="EN" class="" style="font-size: 11pt; line-height: 16.866666793823242px; font-weight: normal;">Per the AAMAS Workshop organizers: There will be a Springer issue for best workshop papers and visionary papers, so each workshop should nominate two papers,
one for each special issue. The authors should be aware that if the nominated workshop paper is also an AAMAS paper (or some other conference paper), the version in the Springer books should have additional material (at least 30% more). <o:p class=""></o:p></span></h4>
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<span lang="EN" class=""> </span></p>
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<b class=""><span class="" style="font-size: 11pt; line-height: 16.866666793823242px; font-family: Arial, sans-serif;">Organizing Committee<o:p class=""></o:p></span></b></div>
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<span class="" style="font-size: 11pt; line-height: 16.866666793823242px; font-family: Arial, sans-serif;">Hau Chan, University of Nebraska-Lincoln<o:p class=""></o:p></span></div>
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<span class="" style="font-size: 11pt; line-height: 16.866666793823242px; font-family: Arial, sans-serif;">Ferdinando Fioretto, Syracuse University<o:p class=""></o:p></span></div>
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<span class="" style="font-size: 11pt; line-height: 16.866666793823242px; font-family: Arial, sans-serif;">Jiaoyang Li, University of Southern California</span></div>
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