Search Results for author: Nil Stolt Ansó

Found 4 papers, 2 papers with code

Single-subject Multi-contrast MRI Super-resolution via Implicit Neural Representations

1 code implementation27 Mar 2023 Julian McGinnis, Suprosanna Shit, Hongwei Bran Li, Vasiliki Sideri-Lampretsa, Robert Graf, Maik Dannecker, Jiazhen Pan, Nil Stolt Ansó, Mark Mühlau, Jan S. Kirschke, Daniel Rueckert, Benedikt Wiestler

Clinical routine and retrospective cohorts commonly include multi-parametric Magnetic Resonance Imaging; however, they are mostly acquired in different anisotropic 2D views due to signal-to-noise-ratio and scan-time constraints.


Investigation on the generalization of the Sampled Policy Gradient algorithm

no code implementations9 Oct 2019 Nil Stolt Ansó

The Sampled Policy Gradient (SPG) algorithm is a new offline actor-critic variant that samples in the action space to approximate the policy gradient.

Sampled Policy Gradient for Learning to Play the Game

2 code implementations15 Sep 2018 Anton Orell Wiehe, Nil Stolt Ansó, Madalina M. Drugan, Marco A. Wiering

In this paper, a new offline actor-critic learning algorithm is introduced: Sampled Policy Gradient (SPG).

Game Design Q-Learning

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