Technical Workshop Series
Unveiling the Potential of Deep Reinforcement Learning (DRL): Methods and Applications (1st Offering)
Presenter: Nahid Abdolrahmanpour
Date: Thursday, July 11th, 2024
Time: 12:00 PM
Location: 4th Floor at 300 Ouellette Avenue (School of Computer Science Advanced Computing Hub)
Abstract:
Deep Reinforcement Learning (DRL) has become a groundbreaking paradigm in artificial intelligence, exhibiting the potential to solve complex decision-making tasks. This workshop aims to provide participants with a complete understanding of the methods and applications of DRL, highlighting its significance in various domains, including robotics, gaming, and autonomous systems. Additionally, the workshop will delve into recent advancements and prospects, empowering participants to unlock the full capabilities of DRL and its transformative impact on the technological landscape.
Workshop Outline:
- What is RL?
- Basics of RL
- Deep RL
- DQN algorithms
- Limitations
- Future of DRL
Prerequisites:
- Basic Programming Knowledge
- Familiarity with Machine Learning Concepts
- Interest in Artificial Intelligence
Biography:
Nahid Abdolrahmanpour (Ph.D. Student in Computer Science) at the University of Windsor, with a solid foundation in Data Mining and Artificial Intelligence. Research Focus: Social Network Analysis. She has already earned a Master's degree in Computer Science, specializing in Data Mining.
MAC STUDENTS ONLY - Register here
Reminder: Workshops marked as 1st Offering and 2nd Offering mean the exact same workshop is running at two different times - DO NOT REGISTER FOR BOTH. Students will not get points for attending the same workshop twice.