BeNeRL Reinforcement Learning Seminar: Hojoon Lee from KAIST AI – December 19, 2022

Join the next BeNeRL Reinforcement Learning Seminar on December 19, 2022, featuring Hojoon Lee from KAIST AI. Learn about the challenges of scaling in RL and new architectural designs to alleviate these challenges. Register now!

The next BeNeRL Reinforcement Learning Seminar will take place on December 19, 2022, featuring Hojoon Lee, a Ph.D. student from KAIST AI. The talk, titled Designing Neural Network Architecture for Deep Reinforcement Learning, will discuss the challenges of scaling in RL and introduce new architectural designs to alleviate these challenges. The seminar will be held online via Zoom from 16.00-17.00 (CET).

Hojoon Lee’s research focuses on designing network architectures and algorithms for RL that can continually learn, adapt, and generalize in dynamic environments. He has previously interned with the GranTurismo team at Sony AI and the RL team at Kakao. Don’t miss this opportunity to learn from a leading RL researcher!

Tags: BeNeRL, Reinforcement Learning Seminar, Hojoon Lee, KAIST AI, Deep Reinforcement Learning, Neural Network Architecture, Scaling in RL, RL Researcher