34 citations · 44 across the 4 of their papers we have counts for
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quant-ph2023★ 34 cited
Variational Monte Carlo with Large Patched Transformers
Kyle Sprague, Stefanie Czischek
Large language models, like transformers, have recently demonstrated immense powers in text and image generation. This success is driven by the ability to capture long-range correl…
cs.LG2023★ 4 cited
ChemGymRL: An Interactive Framework for Reinforcement Learning for Digital Chemistry
Chris Beeler, Sriram Ganapathi Subramanian, Kyle Sprague +10
This paper provides a simulated laboratory for making use of Reinforcement Learning (RL) for chemical discovery. Since RL is fairly data intensive, training agents `on-the-fly' by…