2 papers
cs.LG2026
FP-IRL: Fokker--Planck Inverse Reinforcement Learning -- A Physics-Constrained Approach to Markov Decision Processes
Chengyang Huang, Siddhartha Srivastava, Kenneth K. Y. Ho +4
Inverse reinforcement learning (IRL) is a powerful paradigm for uncovering the incentive structure that drives agent behavior, by inferring an unknown reward function from observed…
q-bio.CB2024
Inference of weak-form partial differential equations describing migration and proliferation mechanisms in wound healing experiments on cancer cells
Patrick C. Kinnunen, Siddhartha Srivastava, Zhenlin Wang +7
Targeting signaling pathways that drive cancer cell migration or proliferation is a common therapeutic approach. A popular experimental technique, the scratch assay, measures the m…