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<font color="#000000"><font face="Calibri, sans-serif">Second Call!</font></font><font style="font-size:11pt" face="Calibri, sans-serif" color="#000000"></font>
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<font size="4"><i><b>4th International Workshop on Multi-Agent Path Finding</b></i></font></div>
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<a href="http://idm-lab.org/wiki/IJCAI20-MAPF/" target="_blank" style="color:rgb(17,85,204)">http://idm-lab.org/wiki/<wbr>IJCAI20-MAPF/</a> </div>
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Part of the International Joint Conference on Artificial Intelligence (IJCAI) 2020</div>
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Yokohama, Japan</div>
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One Day - 11, 12 or 13 July 2020<br>
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Multi-Agent Path Finding (MAPF) is the problem of computing collision-free paths for a team of agents from their current locations to given destinations in a known environment. Application examples include autonomous aircraft towing vehicles, automated warehouse
systems, office robots, and game characters in video games. Solving the MAPF problem optimally is NP-hard for many objectives, such as minimizing the sum of the travel costs or the makespan, and can even be NP-hard to approximate. Yet, practical systems must
find high-quality collision-free paths for the agents quickly because shorter paths result in higher throughput or lower operating costs (since fewer agents are required).</p>
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In recent years, many researchers have explored different variants of the MAPF problem as well as different approaches with different properties. Also, different applications have been studied in artificial intelligence, robotics, and theoretical computer science.
The purpose of this workshop is to bring these researchers together to present their research, discuss future research directions, and cross-fertilize the different communities. Researchers and practitioners whose research might apply to MAPF or who might
be able to use MAPF techniques in their research are welcome.</p>
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All submissions that relate to collision-free path planning or navigation for multiple agents are welcome, including but not limited to:</div>
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<li style="margin-left:15px">Search-, rule-, reduction-, reactive-, and learning-based MAPF planners</li><li style="margin-left:15px">Combination of MAPF and task allocation/scheduling</li><li style="margin-left:15px">Combination of MAPF and execution monitoring</li><li style="margin-left:15px">Variants and generalizations of the MAPF problem</li><li style="margin-left:15px">Application domains for MAPF planners</li><li style="margin-left:15px">Actual applications of MAPF planners</li><li style="margin-left:15px">Customization of MAPF planners for actual robots (including kinematic constraints)</li><li style="margin-left:15px">Standardization of MAPF terminology and benchmarks</li></ul>
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Submissions can contain relevant work in all possible stages, including work that was recently published, is under submission elsewhere, was only recently finished, or is still ongoing. Authors of papers published or under submission elsewhere are encouraged
to submit these papers or short versions (including abstracts) of them to the workshop to educate other researchers about their work, as long as re-submissions are clearly labeled to avoid copyright violations. Position papers and surveys are also welcome.
Submissions will go through a light review process to ensure a fit with the topic of the workshop and acceptable quality. Non-archival workshop notes will be produced containing the material presented at the workshop.</div>
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<i><b>Important Dates</b></i></div>
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Paper submission deadline:<span> </span><span> </span><span> </span>22 April 2020<br>
Paper notification:<span> </span><span> </span><span> </span><span> </span><span> </span><span>
</span><span> </span>6 May 2020<br>
Final version:<span> </span><span> </span><span> </span><span> </span><span> </span><span>
</span><span> </span><span> </span><span> </span>6 June 2020<br>
Workshop:<span> </span><span> </span><span> </span><span> </span><span> </span><span>
</span><span> </span><span> </span><span> </span>11, 12 or 13 July 2020 (TBD)<br>
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<i><b>Information for Authors</b></i></div>
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Submission page:<span> </span><span> </span><a href="https://easychair.org/conferences/?conf=womapf20" target="_blank" style="color:rgb(17,85,204)">https://easychair.org/<wbr>conferences/?conf=womapf20</a></div>
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Format:<span> </span><span> </span> Any format is acceptable.</div>
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Page limitation:<span> </span><span> </span>There is no limit on the number of pages. </div>
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<i><b>Organizing Committee</b></i></div>
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Edward Lam, Monash University, (<a href="mailto:edward.lam@monash.edu" target="_blank" style="color:rgb(17,85,204)">edward.lam@monash.edu</a>)<br>
Graeme Gange, Monash University, (<a href="mailto:Graeme.Gange@monash.edu" target="_blank" style="color:rgb(17,85,204)">Graeme.Gange@monash.edu</a>)<br>
Jiaoyang Li, University of Southern California, (<a href="mailto:jiaoyanl@usc.edu" target="_blank" style="color:rgb(17,85,204)">jiaoyanl@usc.edu</a>)<br>
Dor Atzmon, Ben-Gurion University, (<a href="mailto:dorat@post.bgu.ac.il" target="_blank" style="color:rgb(17,85,204)">dorat@post.bgu.ac.il</a>)<br>
Thayne Walker, University of Denver, (thayne.walker@du.edu)</div>
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