1 citations · 1 across the 2 of their papers we have counts for
3 papers
quant-ph2019
Approximate Graph Spectral Decomposition with the Variational Quantum Eigensolver
Josh Payne, Mario Srouji
Spectral graph theory is a branch of mathematics that studies the relationships between the eigenvectors and eigenvalues of Laplacian and adjacency matrices and their associated gr…
cs.LG2019★ 1 cited
Recurrent Control Nets for Deep Reinforcement Learning
Vincent Liu, Ademi Adeniji, Nathaniel Lee +2
Central Pattern Generators (CPGs) are biological neural circuits capable of producing coordinated rhythmic outputs in the absence of rhythmic input. As a result, they are responsib…
cs.LG2018
Structured Control Nets for Deep Reinforcement Learning
Mario Srouji, Jian Zhang, Ruslan Salakhutdinov
In recent years, Deep Reinforcement Learning has made impressive advances in solving several important benchmark problems for sequential decision making. Many control applications…