Technical Workshop Series - An Introduction to Reinforcement Learning (2nd Offering) by: Xiaofeng Liu (Michael)

Thursday, May 30, 2024 - 10:00

Technical Workshop Series - An Introduction to Reinforcement Learning (2nd Offering)


Presenter:  Xiaofeng Liu (Michael)

Date: Thursday, 30 May 2024

Time: 10:00 AM

Location: 4th Floor (Lecture Space) at 300 Ouellette Avenue (School of Computer Science Advanced Computing Hub)


Reinforcement learning (RL) is the training of machine learning models to make a sequence of decisions. The agent learns to achieve a goal in an uncertain, potentially complex environment. In reinforcement learning, artificial intelligence faces a game-like situation. The computer employs trial and error to come up with a solution to the problem.  This workshop will introduce the main concepts of Reinforcement Learning (RL) with examples.
Workshop Outline:
             What is the difference between Reinforcement Learning and other machine learning methods? 
•             Components of RL
•             RL learning process
•             Example of RL
•             Q&A
Xiaofeng (Michael) is a PhD Candidate in Computer Science. His main research interests are mainly focused on Congestion Control for V2V communication in VANET (Vehicular Ad hoc Network).

MAC STUDENTS ONLY - Register here