Fokker-Planck Inverse Reinforcement Learning: A physics-constrained approach to Markov Decision Process models of cell dynamics

2 Oct 2023, 11:50
8m

Speaker

Krishna Garikipati (University of Michigan)

Description

In this short talk I will discuss our recent work on an approach to introducing connections between the Fokker-Planck equation and learning algorithms for dynamical systems that follow Markov Decision Processes

Authors

Mr Chengyang Huang (University of Michigan) Krishna Garikipati (University of Michigan) Dr Siddhartha Srivastava (University of Michigan) Prof. Xun Huan (University of Michigan)

Presentation materials