19 citations · 32 across the 13 of their papers we have counts for
4 papers · 1 filter
PROMA: Projected Microbatch Accumulation for Reference-Free Proximal Policy Updates
Nilin Abrahamsen
This note introduces Projected Microbatch Accumulation (PROMA), a reference-free proximal policy method that controls KL divergence by projecting away high-variance components of t…
ISOPO: Proximal policy gradients without pi-old
Nilin Abrahamsen
This note introduces Isometric Policy Optimization (ISOPO), an efficient method to approximate the natural policy gradient in a single gradient step. In comparison, existing proxim…
Convergence of variational Monte Carlo simulation and scale-invariant pre-training
Nilin Abrahamsen, Zhiyan Ding, Gil Goldshlager +1
We provide theoretical convergence bounds for the variational Monte Carlo (VMC) method as applied to optimize neural network wave functions for the electronic structure problem. We…
Efficient anti-symmetrization of a neural network layer by taming the sign problem
Nilin Abrahamsen, Lin Lin
Explicit antisymmetrization of a neural network is a potential candidate for a universal function approximator for generic antisymmetric functions, which are ubiquitous in quantum…