Many physical systems are governed by ordinary or partial differential
e...
In this paper we propose a numerical method to solve a 2D advection-diff...
This paper is concerned with a finite-horizon inverse control problem, w...
We provide an overview of the results on Hughes' model for pedestrian
mo...
We present results of numerical simulations of the tensor-valued
ellipti...
One of the major challenges in Deep Reinforcement Learning for control i...
We compare the solutions of two systems of partial differential equation...
The aim of this work is to design implicit and semi-implicit high-order
...
We propose a method for the numerical solution of a multiscale model
des...
We investigate the problem of using a learning-based strategy to stabili...
This is a Masters Thesis completed at University College Dublin, Ireland...
In this paper we propose and validate a multiscale model for the descrip...
In this paper we propose a computational framework for the investigation...
We present a discretized design that expounds an algorithm recently
intr...
In this paper we present a novel technique for the simulation of moving
...
When approximating elliptic problems by using specialized approximation
...
Most numerical schemes proposed for solving BGK models for rarefied gas
...
In this paper, we propose high order semi-implicit schemes for the all M...
Consistent BGK models for inert mixtures are compared, first in their ki...
In this article, we develop and analyse a new spectral method to solve t...
We introduce a control-tutored reinforcement learning (CTRL) algorithm. ...
In this work, we propose a class of high order semi-Lagrangian scheme fo...
In this paper, we propose and analyse a reconstruction technique which
e...
In this paper, we present a new class of conservative semi-Lagrangian sc...
In this paper, we propose a new semi-Lagrangian scheme for the polyatomi...
In this note we consider the problem of synthesizing optimal control pol...
We introduce a control-tutored reinforcement learning (CTRL) algorithm. ...
In this extended abstract we introduce a novel control-tutored
Q-learni...
Over the years, Reinforcement Learning (RL) established itself as a
conv...