Скачать или смотреть UTMIST RL Workshop F25 Week 2 [Dynamic Programming & Q-Functions] w/ Jingmin Wang

The UTMIST Academics team hosts monthly workshops where students share their knowledge and students who are interested in machine learning are able explore the field. Presenters are primarily students from the University of Toronto, with occasional guest speakers from researchers or industry professionals.

This workshop series explores reinforcement learning, a type of machine learning where an agent learns to take optimal actions through interacting with its environment, receiving feedback on decisions through rewards.

Presenter:
Jingming Wang is a reinforcement learning researcher in Data-Driven Decision Making Lab and the Learned, Embodied, Autonomy & Forecasting Lab, working on offline model-based RL methods.

About UTMIST:
Founded in 2017, the University of Toronto Machine Intelligence Student Team (UTMIST) is the largest undergraduate Machine Learning (ML) club and one of the largest Applied Science & Engineering clubs at UofT. With 11 departments, 24+ design teams, 280+ annual executives, and over 3300 community members, UTMIST is dedicated to bridging undergraduates with graduate researchers, professors, and industry professionals in machine intelligence.

UTMIST Socials: https://linktr.ee/utmist
Website: https://www.utmist.ca/