580 citations · 779 across the 7 of their papers we have counts for
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cs.LG2020
A Study of Policy Gradient on a Class of Exactly Solvable Models
Gavin McCracken, Colin Daniels, Rosie Zhao +3
Policy gradient methods are extensively used in reinforcement learning as a way to optimize expected return. In this paper, we explore the evolution of the policy parameters, for a…
cond-mat.mtrl-sci2020★ 43 cited
Machine-learning models for Raman spectra analysis of twisted bilayer graphene
Natalya Sheremetyeva, Michael Lamparski, Colin Daniels +2
The vibrational properties of twisted bilayer graphene (tBLG) show complex features, due to the intricate energy landscape of its low-symmetry configurations. A machine learning-ba…