277 citations · 1.6k across the 89 of their papers we have counts for
12 papers · 1 filter
Tutoring Reinforcement Learning via Feedback Control
Francesco De Lellis, Giovanni Russo, Mario di Bernardo
We introduce a control-tutored reinforcement learning (CTRL) algorithm. The idea is to enhance tabular learning algorithms by means of a control strategy with limited knowledge of…
Conservative semi-Lagrangian schemes for a general consistent BGK model for inert gas mixtures
Seung Yeon Cho, Sebastiano Boscarino, Maria Groppi +1
In this work, we propose a class of high order semi-Lagrangian scheme for a general consistent BGK model for inert gas mixtures. The proposed scheme not only fulfills indifferentia…
On the crowdsourcing of behaviors for autonomous agents
Giovanni Russo
This paper is concerned with the problem of designing, from data, agents that are able to craft their behavior from a number of contributors in order to fulfill some agent-specific…
Conservative semi-Lagrangian schemes for kinetic equations Part I: Reconstruction
Seung Yeon Cho, Sebastiano Boscarino, Giovanni Russo +1
In this paper, we propose and analyse a reconstruction technique which enables one to design high-order conservative semi-Lagrangian schemes for kinetic equations. The proposed rec…
Conservative semi-Lagrangian schemes for kinetic equations Part II: Applications
Seung Yeon Cho, Sebastiano Boscarino, Giovanni Russo +1
In this paper, we present a new class of conservative semi-Lagrangian schemes for kinetic equations. They are based on the conservative reconstruction technique introduced in [S. Y…
An order-adaptive compact approximation Taylor method for systems of conservation laws
H. Carrillo, E. Macca, G. Russo +2
We present a new family of high-order shock-capturing finite difference numerical methods for systems of conservation laws. These methods, called Adaptive Compact Approximation Tay…