The School of Computer Science at the University of Windsor is pleased to present…

Technical Workshop Presentation By: Xiaofeng (Michael) Liu PhD Student

Introduction to Reinforcement Learning

Date: Thursday, December 1st, 2022 

Time:  12:00pm – 1:00pm 

Location: 4^th Floor (Workshop space) at 300 Ouellette Avenue (School of Computer Science Advanced Computing Hub)

Abstract: 

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, an 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.

At the end of this workshop’s student will learn the following:                                                                                                                                                                                                                                  Understand the components of RL

Understand the concepts of RL

Understand how an agent learns from the environment

Prerequisites:

Knowledge of Python

Workshop Outline:

• What is the difference between Reinforcement Learning and other machine learning methods? (5 min)
• Components of RL (15 min)
• RL learning process (10 min)
• Example of RL (20 min)
• Q&A (10min)

Biography:  

Xiaofeng is a PhD student in Computer Science. My main research interests are mainly focused on Congestion Control for V2V communication in VANET.