Reinforcement Learning and Uncertainty Quantification

Speakers: TBD
Webinar Beginner
AI for Science

Trainees will master through hands-on examples how reinforcement learning may be used to adjust the performance of AI models through dynamic feedback that maximizes a reward to perform a given action.  Trainees will also learn about statistical methods to quantify the reliability of AI predictions such as probabilistic learning.

Time and Date: January 20, 3-5 p.m. US CT

This session is a part of the ALCF AI for Science Training Series

Speakers: TBA