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DTSTART;TZID=America/New_York:20261015T190000
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DESCRIPTION:Technology and Engineering Management (TEM) chapter is pleased 
 to organize a Two-Part Series titled\, “Reinforcement Learning for Engin
 eers” with an Engineering Management Prespective.\n\nWe are pleased to i
 nvite you to the first of the two-part learning series on Reinforcement Le
 arning (RL). While each session can be attended independently\, we highly 
 recommend REGISTERING for BOTH MEETING/ SESSIONS and participating at NO-C
 OST in both sessions to gain a complete\, progressive understanding of the
  topic.\n\nMeeting/Session 1: Foundations of Reinforcement Learning for En
 gineers: An Engineering Management Prespective\n\n-  Date: Thursday\, Octo
 ber 15\n-  Focus: Core mathematical concepts\, Markov Decision Processes\,
  and technical fundamentals.\n\nMeeting/Session 2: Reinforcement Learning 
 for Engineers : An Engineering Management Prespective\n\n- Date: Thursday\
 , October 29\n- Focus: Advanced implementation strategies\, real-world eng
 ineering applications\, and system deployment.\n\nAgenda: \nWill introduce
  and clarify\n\nCore mathematical concepts\n\nMarkov Decision Processes an
 d\n\nTechnical fundamentals necessary to understand Reinforcement Learning
 \n\nVirtual: https://events.vtools.ieee.org/m/579060
LOCATION:Virtual: https://events.vtools.ieee.org/m/579060
ORGANIZER:kgan2040@gmail.com
SEQUENCE:101
SUMMARY:Foundations of Reinforced Learning for Engineers: An Engineering Ma
 nagement Perspective
URL;VALUE=URI:https://events.vtools.ieee.org/m/579060
X-ALT-DESC:Description: &lt;br /&gt;&lt;p class=&quot;MsoNormal&quot; style=&quot;margin-bottom: .0
 001pt\; line-height: normal\;&quot;&gt;&lt;span style=&quot;font-size: 18pt\; font-family:
  &#39;Times New Roman&#39;\, &#39;serif&#39;\;&quot;&gt;Technology and Engineering Management (TEM
 ) chapter is pleased to organize a Two-Part Series titled\, &amp;ldquo\;Reinfo
 rcement Learning for Engineers&amp;rdquo\; with an Engineering Management Pres
 pective.&lt;/span&gt;&lt;/p&gt;\n&lt;p class=&quot;MsoNormal&quot; style=&quot;margin-bottom: .0001pt\; 
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 ly: &#39;Times New Roman&#39;\, &#39;serif&#39;\;&quot;&gt;We are pleased to invite you to the fir
 st of the two-part learning series on Reinforcement Learning (RL). While e
 ach session can be attended independently\, &lt;strong&gt;we highly recommend RE
 GISTERING for BOTH MEETING/ SESSIONS and participating at NO-COST in both 
 sessions&lt;/strong&gt; to gain a complete\, progressive understanding of the to
 pic.&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;\n&lt;p class=&quot;MsoNormal&quot; style=&quot;margin-bottom: .0001pt
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 =&quot;mso-spacerun: yes\;&quot;&gt;&amp;nbsp\;&lt;/span&gt;&lt;strong&gt;Focus:&lt;/strong&gt; Core mathemat
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 e-height: normal\;&quot;&gt;&lt;span style=&quot;font-size: 18pt\;&quot;&gt;&lt;strong&gt;&lt;span style=&quot;f
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 imes New Roman&#39;\, &#39;serif&#39;\;&quot;&gt;n Engineering Management Prespective&lt;/span&gt;&lt;/
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 strong&gt;&lt;span style=&quot;font-family: &#39;Times New Roman&#39;\, &#39;serif&#39;\;&quot;&gt;Date:&lt;/spa
 n&gt;&lt;/strong&gt;&lt;span style=&quot;font-family: &#39;Times New Roman&#39;\, &#39;serif&#39;\;&quot;&gt; Thurs
 day\, October 29&lt;/span&gt;&lt;/span&gt;&lt;/li&gt;\n&lt;li class=&quot;MsoNormal&quot; style=&quot;line-hei
 ght: normal\; font-size: 18pt\;&quot;&gt;&lt;span style=&quot;font-size: 18pt\;&quot;&gt;&lt;strong&gt;&lt;
 span style=&quot;font-family: &#39;Times New Roman&#39;\, &#39;serif&#39;\;&quot;&gt;Focus:&lt;/span&gt;&lt;/str
 ong&gt;&lt;span style=&quot;font-family: &#39;Times New Roman&#39;\, &#39;serif&#39;\;&quot;&gt; Advanced imp
 lementation strategies\, real-world engineering applications\, and system 
 deployment.&lt;/span&gt;&lt;/span&gt;&lt;/li&gt;\n&lt;/ul&gt;&lt;br /&gt;&lt;br /&gt;Agenda: &lt;br /&gt;&lt;p class=&quot;M
 soNormal&quot;&gt;&lt;span style=&quot;font-size: 18.0pt\; line-height: 115%\;&quot;&gt;Will intro
 duce and clarify &lt;/span&gt;&lt;/p&gt;\n&lt;p class=&quot;MsoNormal&quot;&gt;&lt;span style=&quot;font-size:
  18.0pt\; line-height: 115%\;&quot;&gt;Core mathematical concepts&lt;/span&gt;&lt;/p&gt;\n&lt;p c
 lass=&quot;MsoNormal&quot;&gt;&lt;span style=&quot;font-size: 18.0pt\; line-height: 115%\;&quot;&gt;Mar
 kov Decision Processes and &lt;/span&gt;&lt;/p&gt;\n&lt;p class=&quot;MsoNormal&quot;&gt;&lt;span style=&quot;
 font-size: 18.0pt\; line-height: 115%\;&quot;&gt;Technical fundamentals necessary 
 to understand Reinforcement Learning&lt;/span&gt;&lt;/p&gt;\n&lt;p class=&quot;MsoNormal&quot; styl
 e=&quot;margin-bottom: .0001pt\; line-height: normal\;&quot;&gt;&amp;nbsp\;&lt;/p&gt;\n&lt;p&gt;&amp;nbsp\;
 &lt;/p&gt;
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