2 citations · 2 across the 3 of their papers we have counts for
3 papers
math.OC2021
Distributionally Robust Surrogate Optimal Control for High-Dimensional Systems
Aaron Kandel, Saehong Park, Scott Moura
This paper presents a novel methodology for tractably solving optimal control and offline reinforcement learning problems for high-dimensional systems. This work is motivated by th…
eess.SY2020
Reinforcement Learning-based Fast Charging Control Strategy for Li-ion Batteries
Saehong Park, Andrea Pozzi, Michael Whitmeyer +4
One of the most crucial challenges faced by the Li-ion battery community concerns the search for the minimum time charging without irreversibly damaging the cells. This can fall in…
math.OC2019★ 2 cited
Reinforcement Learning versus PDE Backstepping and PI Control for Congested Freeway Traffic
Huan Yu, Saehong Park, Alexandre Bayen +2
We develop reinforcement learning (RL) boundary controllers to mitigate stop-and-go traffic congestion on a freeway segment. The traffic dynamics of the freeway segment are governe…