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: 4th 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.