13 citations · 16 across the 2 of their papers we have counts for
2 papers
quant-ph2021★ 13 cited
Quantum Algorithms for Reinforcement Learning with a Generative Model
Daochen Wang, Aarthi Sundaram, Robin Kothari +2
Reinforcement learning studies how an agent should interact with an environment to maximize its cumulative reward. A standard way to study this question abstractly is to ask how ma…
q-bio.NC2015★ 3 cited
Inferring and Learning from Neuronal Correspondences
Ashish Kapoor, E. Paxon Frady, Stefanie Jegelka +2
We introduce and study methods for inferring and learning from correspondences among neurons. The approach enables alignment of data from distinct multiunit studies of nervous syst…