3 citations · 7 across the 10 of their papers we have counts for
Showing math.OCShow all
2 papers · 1 filter
math.OC2022★ 2 cited
Reinforcement Learning for Molecular Dynamics Optimization: A Stochastic Pontryagin Maximum Principle Approach
Chandrajit Bajaj, Minh Nguyen, Conrad Li
In this paper, we present a novel reinforcement learning framework designed to optimize molecular dynamics by focusing on the entire trajectory rather than just the final molecular…
math.OC2021★ 3 cited
Physics-informed neural networks via stochastic Hamiltonian dynamics learning
Chandrajit Bajaj, Minh Nguyen
In this paper, we propose novel learning frameworks to tackle optimal control problems by applying the Pontryagin maximum principle and then solving for a Hamiltonian dynamical sys…