Theoretical Machine Learning Seminar
Latent State Discovery in Reinforcement Learning
There are three core orthogonal problems in reinforcement learning: (1) Crediting actions (2) generalizing across rich observations (3) Exploring to discover the information necessary for learning. Good solutions to pairs of these problems are fairly well known at this point, but solutions for all three are just now being discovered. I’ll discuss several such results and dive into details on a few of them.
Date & Time
August 13, 2020 | 3:00pm – 4:30pm
Location
Remote Access Only - see link belowSpeakers
John Langford
Affiliation
Microsoft Research
Event Series
Categories
Notes
We welcome broad participation in our seminar series. To receive login details, interested participants will need to fill out a registration form accessible from the link below. Upcoming seminars in this series can be found here.