Conference paper Open Access

Why did the human cross the road?

Panayiotis Charalambous; Yiorgos Chrysanthou


MARC21 XML Export

<?xml version='1.0' encoding='UTF-8'?>
<record xmlns="http://www.loc.gov/MARC21/slim">
  <leader>00000nam##2200000uu#4500</leader>
  <datafield tag="041" ind1=" " ind2=" ">
    <subfield code="a">eng</subfield>
  </datafield>
  <controlfield tag="005">20200730125912.0</controlfield>
  <datafield tag="500" ind1=" " ind2=" ">
    <subfield code="a">This work has received funding from the European Union's Horizon 2020 Research and Innovation Programme under Grant Agreement  No 739578 and the Government of the Republic of Cyprus through the Directorate General for European Programmes, Coordination and Development.</subfield>
  </datafield>
  <controlfield tag="001">3747808</controlfield>
  <datafield tag="700" ind1=" " ind2=" ">
    <subfield code="u">Research Center on Interactive Media, Smart Systems and Emerging Technologies, Cyprus</subfield>
    <subfield code="a">Yiorgos Chrysanthou</subfield>
  </datafield>
  <datafield tag="856" ind1="4" ind2=" ">
    <subfield code="s">2115022</subfield>
    <subfield code="z">md5:1ce44bdcf696f57b541bac124884191d</subfield>
    <subfield code="u">https://zenodo.org/record/3747808/files/mig19-48.pdf</subfield>
  </datafield>
  <datafield tag="542" ind1=" " ind2=" ">
    <subfield code="l">open</subfield>
  </datafield>
  <datafield tag="260" ind1=" " ind2=" ">
    <subfield code="c">2019-10-01</subfield>
  </datafield>
  <datafield tag="909" ind1="C" ind2="O">
    <subfield code="p">openaire</subfield>
    <subfield code="p">user-rise-teaming-cyprus</subfield>
    <subfield code="o">oai:zenodo.org:3747808</subfield>
  </datafield>
  <datafield tag="100" ind1=" " ind2=" ">
    <subfield code="u">Research Center on Interactive Media, Smart Systems and Emerging Technologies, Cyprus</subfield>
    <subfield code="a">Panayiotis Charalambous</subfield>
  </datafield>
  <datafield tag="245" ind1=" " ind2=" ">
    <subfield code="a">Why did the human cross the road?</subfield>
  </datafield>
  <datafield tag="980" ind1=" " ind2=" ">
    <subfield code="a">user-rise-teaming-cyprus</subfield>
  </datafield>
  <datafield tag="536" ind1=" " ind2=" ">
    <subfield code="c">739578</subfield>
    <subfield code="a">Research Center on Interactive Media, Smart System and Emerging Technologies</subfield>
  </datafield>
  <datafield tag="540" ind1=" " ind2=" ">
    <subfield code="u">https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode</subfield>
    <subfield code="a">Creative Commons Attribution Non Commercial No Derivatives 4.0 International</subfield>
  </datafield>
  <datafield tag="650" ind1="1" ind2="7">
    <subfield code="a">cc-by</subfield>
    <subfield code="2">opendefinition.org</subfield>
  </datafield>
  <datafield tag="520" ind1=" " ind2=" ">
    <subfield code="a">&lt;p&gt;&amp;lsquo;&amp;lsquo;Humans at rest tend to stay at rest. Humans in motion tend to cross the road &amp;ndash; Isaac Newton.&amp;rdquo; Even though this response is meant to be a joke to indicate the answer is quite obvious, this important feature of real world crowds is rarely considered in simulations. Answering this question involves several things such as how agents balance between reaching goals, avoid collisions with heterogeneous entities and how the environment is being modeled. As part of a preliminary study, we introduce a reinforcement learning framework to train pedestrians to cross streets with bidirectional traffic. Our initial results indicate that by using a very simple goal centric representation of agent state and a simple reward function, we can simulate interesting behaviors such as pedestrians crossing the road through crossings or waiting for cars to pass.&lt;/p&gt;</subfield>
  </datafield>
  <datafield tag="024" ind1=" " ind2=" ">
    <subfield code="a">10.1145/3359566.3364696</subfield>
    <subfield code="2">doi</subfield>
  </datafield>
  <datafield tag="980" ind1=" " ind2=" ">
    <subfield code="a">publication</subfield>
    <subfield code="b">conferencepaper</subfield>
  </datafield>
</record>
27
25
views
downloads
Views 27
Downloads 25
Data volume 52.9 MB
Unique views 24
Unique downloads 25

Share

Cite as