PPO and SAC Algorithms
Abstract
Reinforcement Learning (RL) is a branch of machine learning in which agents learn by interacting with an environment. It includes a variety of algorithms, one category of which is policy-based algorithms. In this section, we will take a closer look at two methods from this category which are PPO and SAC algorithms.
Date
Mar 26, 2025 12:00 PM — 12:30 PM
Event
EMIL Spring'25 Seminars
Location
Online (Zoom)
Saman Khamesian
Graduate Research Associate
I am a Ph.D. researcher at Arizona State University, specializing in Artificial Intelligence with a focus on health applications. As a Graduate Research Assistant in the EMIL Lab under Dr. Hassan Ghasemzadeh, I work on developing advanced machine learning solutions for Type 1 diabetes management, including personalized glucose forecasting and automated insulin delivery systems.