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DESCRIPTION:This presentation by Dr.Melike Erol-Kantarci\, from University 
 of Ottawa. Presentation subject is on AI-Enable Wireless Networks titled &quot;
 Deep and Reinforcement Learning in 5G and 6G&quot;\n\nRegister Now!! Registrati
 on closes May 26th\, 2022 at 4:00 p.m. EST\n\nAbstract:\n\nThe next genera
 tion of wireless networks\, also known as Beyond 5G and 6G\, will need a v
 ery high level of automation. This is both because of the increased comple
 xity\, and also thanks to the availability of more data\, advanced Machine
  Learning (ML) algorithms and strong processing\ncapabilities. When it com
 es to automation of networks\, intelligent control algorithms that allow t
 urning the knobs and optimizing system parameters become essential. Reinfo
 rcement learning and deep reinforcement learning algorithms have shown gre
 at success in other areas in AI and ML. In this talk\, we will provide an 
 overview of the state-of-art in reinforcement and deep reinforcement learn
 ing algorithms and their applications to wireless networks\, as well as ne
 w architectures such as O-RAN\, in addition to their challenges and the op
 en issues in terms of their applicability to various functions of future w
 ireless networks.\n\nSpeaker(s): Dr. Melike\, \n\nVirtual: https://events.
 vtools.ieee.org/m/314865
LOCATION:Virtual: https://events.vtools.ieee.org/m/314865
ORGANIZER:balakrishnan_mani@ieee.org
SEQUENCE:9
SUMMARY:Deep and Reinforcement Learning in 5G and 6G
URL;VALUE=URI:https://events.vtools.ieee.org/m/314865
X-ALT-DESC:Description: &lt;br /&gt;&lt;p&gt;&lt;span style=&quot;color: #236fa1\; font-size: 1
 4pt\;&quot;&gt;&lt;strong&gt;This presentation by Dr.Melike Erol-Kantarci\, from Univers
 ity of Ottawa. Presentation subject is on AI-Enable Wireless Networks titl
 ed &quot;Deep and Reinforcement Learning in 5G and 6G&quot;&lt;/strong&gt;&lt;/span&gt;&lt;/p&gt;\n&lt;p&gt;
 &amp;nbsp\;&lt;/p&gt;\n&lt;p&gt;&lt;strong&gt;&lt;span style=&quot;color: #e03e2d\; font-size: 14pt\;&quot;&gt;R
 egister Now!! Registration closes May 26th\, 2022 at 4:00 p.m. EST&lt;/span&gt;&lt;
 /strong&gt;&lt;/p&gt;\n&lt;p&gt;&amp;nbsp\;&lt;/p&gt;\n&lt;p&gt;&lt;span style=&quot;color: #236fa1\; font-size: 
 12pt\;&quot;&gt;&lt;strong&gt;Abstract:&lt;/strong&gt;&lt;/span&gt;&lt;/p&gt;\n&lt;p&gt;&lt;span style=&quot;color: #000
 000\;&quot;&gt;The next generation of wireless networks\, also known as Beyond 5G 
 and 6G\, will need a very high level of automation. This is both because o
 f the increased complexity\, and also thanks to the availability of more d
 ata\, advanced Machine Learning (ML) algorithms and strong processing&lt;br /
 &gt;capabilities. When it comes to automation of networks\, intelligent contr
 ol algorithms that allow turning the knobs and optimizing system parameter
 s become essential. Reinforcement learning and deep reinforcement learning
  algorithms have shown great success in other areas in AI and ML. In this 
 talk\, we will provide an overview of the state-of-art in reinforcement an
 d deep reinforcement learning algorithms and their applications to wireles
 s networks\, as well as new architectures such as O-RAN\, in addition to t
 heir challenges and the open issues in terms of their applicability to var
 ious functions of future wireless networks.&lt;/span&gt;&lt;/p&gt;
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