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		<title>Alanazi et al 2019a - Revision history</title>
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		<updated>2026-04-21T18:44:55Z</updated>
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		<title>Scipediacontent: Scipediacontent moved page Draft Content 890549311 to Alanazi et al 2019a</title>
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				<updated>2021-02-03T19:05:58Z</updated>
		
		<summary type="html">&lt;p&gt;Scipediacontent moved page &lt;a href=&quot;/public/Draft_Content_890549311&quot; class=&quot;mw-redirect&quot; title=&quot;Draft Content 890549311&quot;&gt;Draft Content 890549311&lt;/a&gt; to &lt;a href=&quot;/public/Alanazi_et_al_2019a&quot; title=&quot;Alanazi et al 2019a&quot;&gt;Alanazi et al 2019a&lt;/a&gt;&lt;/p&gt;
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				&lt;td colspan='1' style=&quot;background-color: white; color:black; text-align: center;&quot;&gt;← Older revision&lt;/td&gt;
				&lt;td colspan='1' style=&quot;background-color: white; color:black; text-align: center;&quot;&gt;Revision as of 19:05, 3 February 2021&lt;/td&gt;
				&lt;/tr&gt;&lt;tr&gt;&lt;td colspan='2' style='text-align: center;' lang='en'&gt;&lt;div class=&quot;mw-diff-empty&quot;&gt;(No difference)&lt;/div&gt;
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		<author><name>Scipediacontent</name></author>	</entry>

	<entry>
		<id>https://www.scipedia.com/wd/index.php?title=Alanazi_et_al_2019a&amp;diff=207701&amp;oldid=prev</id>
		<title>Scipediacontent: Created page with &quot; == Abstract ==  Partially Detected Intelligent Traffic Signal Control (PD-ITSC) systems that can optimize traffic signals based on limited detected information could be a cos...&quot;</title>
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				<updated>2021-02-03T19:05:56Z</updated>
		
		<summary type="html">&lt;p&gt;Created page with &amp;quot; == Abstract ==  Partially Detected Intelligent Traffic Signal Control (PD-ITSC) systems that can optimize traffic signals based on limited detected information could be a cos...&amp;quot;&lt;/p&gt;
&lt;p&gt;&lt;b&gt;New page&lt;/b&gt;&lt;/p&gt;&lt;div&gt;&lt;br /&gt;
== Abstract ==&lt;br /&gt;
&lt;br /&gt;
Partially Detected Intelligent Traffic Signal Control (PD-ITSC) systems that can optimize traffic signals based on limited detected information could be a cost-efficient solution for mitigating traffic congestion in the future. In this paper, we focus on a particular problem in PD-ITSC - adaptation to changing environments. To this end, we investigate different reinforcement learning algorithms, including Q-learning, Proximal Policy Optimization (PPO), Advantage Actor-Critic (A2C), and Actor-Critic with Kronecker-Factored Trust Region (ACKTR). Our findings suggest that RL algorithms can find optimal strategies under partial vehicle detection; however, policy-based algorithms can adapt to changing environments more efficiently than value-based algorithms. We use these findings to draw conclusions about the value of different models for PD-ITSC systems.&lt;br /&gt;
&lt;br /&gt;
Comment: Accepted by ICMLA 2019&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== Original document ==&lt;br /&gt;
&lt;br /&gt;
The different versions of the original document can be found in:&lt;br /&gt;
&lt;br /&gt;
* [http://arxiv.org/abs/1910.10808 http://arxiv.org/abs/1910.10808]&lt;br /&gt;
&lt;br /&gt;
* [http://arxiv.org/pdf/1910.10808 http://arxiv.org/pdf/1910.10808]&lt;br /&gt;
&lt;br /&gt;
* [http://xplorestaging.ieee.org/ielx7/8974348/8998966/08999054.pdf?arnumber=8999054 http://xplorestaging.ieee.org/ielx7/8974348/8998966/08999054.pdf?arnumber=8999054],&lt;br /&gt;
: [http://dx.doi.org/10.1109/icmla.2019.00314 http://dx.doi.org/10.1109/icmla.2019.00314]&lt;br /&gt;
&lt;br /&gt;
* [https://dblp.uni-trier.de/db/journals/corr/corr1910.html#abs-1910-10808 https://dblp.uni-trier.de/db/journals/corr/corr1910.html#abs-1910-10808],&lt;br /&gt;
: [https://arxiv.org/abs/1910.10808 https://arxiv.org/abs/1910.10808],&lt;br /&gt;
: [http://arxiv.org/pdf/1910.10808.pdf http://arxiv.org/pdf/1910.10808.pdf],&lt;br /&gt;
: [https://academic.microsoft.com/#/detail/3008819584 https://academic.microsoft.com/#/detail/3008819584]&lt;/div&gt;</summary>
		<author><name>Scipediacontent</name></author>	</entry>

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