no code implementations • 2 Dec 2023 • Eduardo Pignatelli, Johan Ferret, Matthieu Geist, Thomas Mesnard, Hado van Hasselt, Laura Toni
In this survey, we review the state of the art of Temporal Credit Assignment (CA) in deep RL.
no code implementations • 6 Dec 2022 • Konstantinos Ntagiantas, Eduardo Pignatelli, Nicholas S. Peters, Chris D. Cantwell, Rasheda A. Chowdhury, Anil A. Bharath
We adapt a wavelet-based surrogate testing analysis to confirm that the inferred conductivity distribution is an accurate representation of the ground truth input to the model.
no code implementations • 1 Jan 2021 • Mario Lino Valencia, Chris D Cantwell, Eduardo Pignatelli, Stathi Fotiadis, Anil Anthony Bharath
In this work, we investigate the performance of fully convolutional networks to predict the motion and interaction of surface waves in open and closed complex geometries.
no code implementations • 1 Dec 2020 • Mario Lino, Chris Cantwell, Stathi Fotiadis, Eduardo Pignatelli, Anil Bharath
We investigate the performance of fully convolutional networks to simulate the motion and interaction of surface waves in open and closed complex geometries.
1 code implementation • ICLR Workshop DeepDiffEq 2019 • Stathi Fotiadis, Eduardo Pignatelli, Mario Lino Valencia, Chris Cantwell, Amos Storkey, Anil A. Bharath
Dynamical systems can be modelled by partial differential equations and numerical computations are used everywhere in science and engineering.