YoVDO

Fokker-Planck-Inverse Reinforcement Learning

Offered By: Inside Livermore Lab via YouTube

Tags

Fokker Planck Equation Courses Markov Decision Processes Courses Stochastic Differential Equation Courses Mean-Field Theory Courses Biophysics Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore the innovative Fokker-Planck-Inverse Reinforcement Learning technique in this hour-long talk by Krishna Garikipati from the University of Michigan. Delve into the challenges of Inverse Reinforcement Learning (IRL) when transition dynamics are unknown, and discover how the Fokker-Planck equation from mean-field theory can be leveraged to infer these transitions. Learn about the proposed isomorphism between time-discrete Fokker-Planck and Markov decision processes, and how it forms the basis for a novel physics-aware IRL algorithm. Witness the application of this groundbreaking approach to both synthetic benchmarks and real-world biological problems in cancer cell dynamics. Gain insights from Garikipati's extensive background in computational science, biophysics, and data-driven approaches as he presents this collaborative research effort.

Syllabus

DDPS | Fokker-Planck-Inverse Reinforcement Learning


Taught by

Inside Livermore Lab

Related Courses

Biomembranes and Bioenergetics
CEC via Swayam
Physics of Biological Systems
Indian Institute of Technology Bombay via Swayam
Medicine
Serious Science via YouTube
Stanford Seminar - Interactive Biotechnology - Cloud Labs, Biotic Games, Museum Exhibits, DIY Kits
Stanford University via YouTube
Viral Intelligence: What Is Coronavirus?
The Great Courses Plus