Hands-on Reinforcement Learning Workshop using Python

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IEEE Young Professionals Affinity Group Montreal brings you a free hands-on reinforcement learning workshop using Python in Google Colab. This event is co-hosted by IEEE YP Ottawa, YP Toronto, YP Vancouver, IEEE SBs of Polytechnique Montreal, Concordia, ETS, INRS, WIE Ottawa, SIGHT Montreal, and CAS technical chapter of vancouver section. All students at all levels are welcome to attend, however, registration is mandatory through the secure IEEE web portal. This workshop will cover the basics of using Colab, an introduction to reinforcement learning, and together we will write your first Q-learning code. The workshop will be interactive, and you will have a chance to code with us and ask your questions. We will also have breaks, a discussion forum, polls, and Q&A.



  Date and Time

  Location

  Hosts

  Registration



  • Date: 23 Mar 2021
  • Time: 09:00 AM to 01:00 PM
  • All times are EST
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Virtual platform info has been delivered to registrants in rounds of emails. For immediate assistance, please write us at yp.ieee.mtl@gmail.com

 

 

  • Montreal, Quebec
  • Canada

  • Starts 02 March 2021 01:48 PM
  • Ends 23 March 2021 08:00 AM
  • All times are EST
  • No Admission Charge


  Speakers

Sadia Khaf

Sadia Khaf

Biography:

Sadia Khaf received the B.E. degree in electrical engineering from the National University of Sciences and Technology, School of Electrical Engineering and Computer Science (NUST-SEECS), Islamabad, Pakistan, in 2015. She received the M.Sc. degree in electrical and electronics engineering from Bilkent University, Ankara, Turkey, in 2018. From 2015 to 2018, she was a Research Assistant with IONOLAB, Turkey. From 2018 to 2020, she worked with the Faculty of Electrical Engineering, Ghulam Ishaq Khan Institute of Engineering Sciences and Technology (GIKI), Pakistan, as a Lecturer. She conducted her research there on Mobile Edge Computing and Deep Learning with the TeleCoN research group. Currently, she is with École de Technologie supérieure, Montreal, Canada, as a Ph.D. student. Her research interests include reinforcement learning, radio resource management, cognitive radio networks, and industrial internet-of-things (IIoT). She was the recipient of the highest level of merit scholarships at NUST, Bilkent, and ÉTS. She also secured the P.E.O. International Peace Scholarship. She is the co-founder of SAYA school, Pakistan, and IEEE Women in Engineering (WIE) branch at ÉTS. She serves as the Vice-Chair of the IEEE ÉTS and Industrial Relations Manager of the IEEE Montreal Young Professionals Affinity Group.

Address:Montreal, Quebec, Canada

Faye Satari

Faye Satari

Biography:

Faye Satari was born in Quchan, a small town with minimal educational infrastructure and facilities. When she finished primary school, she was accepted in the provincial entrance exam of the Exceptional Talents High School. After excelling in high school and hard working around the clock, she participated in a very competitive tuition-free nationwide university entrance exam (i.e. Konkour) among about one and half million participants; She was accepted in Computer Software Engineering of Urmia University. During her undergraduate education, she actively participated in many teamwork projects and attended some technical seminars as well as joining associations at her university. Furthermore, she got the title of top student in technical faculty of the university in one semester and received her B. Sc. degree in Computer Software Engineering from Urmia University of Technology, Urmia, Iran, in 2008. She is currently pursuing an M.Sc.A. Computer Engineering in the Department of Computer and Software Engineering, Polytechnique Montréal, University of Montreal, Montreal, Canada and she is a member of IEEE Young Professionals. Her current research interests include the Internet of Things (IoT), Smart Cities, and telecommunications systems.

Address:Montreal, Quebec, Canada