Next month’s STEM Bytes Seminar will be on Tuesday, March 5 from 10:00 – 10:30 am PT on Zoom!

To register for this seminar, please visit: tinyurl.com/STEM-Bytes3-5 (link in bio)

Speaker:

🎤Thejani Gamage, PhD Student in Mathematics

PhD candidate in the Mathematics Department in Univ. Of Southern California. Research Focus is Financial Mathematics, in particular the optimization problems in Insurance Companies using concepts from Reinforcement Learning. Recipient of the Dornsife Gold Fellowship for Summer 2023. I like reading fictions and cooking dishes from around the world for fun.

Talk: Reinforcement Learning for Stochastic Control

Reinforcement Learning (RL) is one of the 3 pillars of machine learning, along with supervised and unsupervised Learning. RL can theoretically learn how to perform any task by learning via trial and error, essentially how any animal in the animal kingdom learns how to perform a task. Examples of use of RL include playing games (ex. AlphaGo), Robotics and automation, scheduling and optimization, trading, recommender systems etc. Though theoretically sounds limitless, RL is not without its limitations, which mainly include sample in-efficicincy, exploration and exploitation trade off and the sparse-reward problem. These problems and many useful applications of RL have made it one of the most active research topics both in academia and industry.

𝙉𝙤𝙩𝙚: 𝙏𝙝𝙞𝙨 𝙚𝙫𝙚𝙣𝙩 𝙞𝙨 𝙤𝙥𝙚𝙣 𝙩𝙤 𝙩𝙝𝙚 𝙐𝙎𝘾 𝙘𝙤𝙢𝙢𝙪𝙣𝙞𝙩𝙮