dynamical systems – cmc.deusto.eus

An Introduction to Reinforcement Learning and Optimal Control Theory

DS, dynamical systems, HJB equation, MDP, Reinforcement Learning, RL

Organized by CCM - Chair of Computational Mathematics Speaker: Carlos Esteve Yague, Postdoctoral Researcher at CCM From September 8th. to October 1st, 2020 Sessions: 4, one session/week Abstract. This mini-course…

An Introduction to Reinforcement Learning and Optimal Control Theory

An inverse problem for Moore-Gibson-Thompson equation arising in high intensity ultrasound

Averaged turnpike property for differential equations with random constant coefficients. Mathematical Control and Related Fields

Boundary Controllability for the 1D Moore-Gibson-Thompson equation

Controllability properties from the exterior under positivity constraints for a 1-D fractional heat equation

Discrete Carleman estimates and application to controllability for a fully-discrete parabolic operator with dynamic boundary conditions