81 citations · 93 across the 11 of their papers we have counts for
4 papers · 1 filter
Control-Tutored Reinforcement Learning
Francesco De Lellis, Fabrizia Auletta, Giovanni Russo +2
We introduce a control-tutored reinforcement learning (CTRL) algorithm. The idea is to enhance tabular learning algorithms so as to improve the exploration of the state-space, and…
Control-Tutored Reinforcement Learning: an application to the Herding Problem
Francesco De Lellis, Fabrizia Auletta, Giovanni Russo +1
In this extended abstract we introduce a novel control-tutored Q-learning approach (CTQL) as part of the ongoing effort in developing model-based and safe RL for continuous state s…
Control of Painlevé Paradox in a Robotic System
Davide Marchese, Marco Coraggio, S. John Hogan +1
The Painlevé paradox is a phenomenon that causes instability in mechanical systems subjects to unilateral constraints. While earlier studies were mostly focused on abstract theoret…
Deep learning control of artificial avatars in group coordination tasks
Maria Lombardi, Davide Liuzza, Mario di Bernardo
In many joint-action scenarios, humans and robots have to coordinate their movements to accomplish a given shared task. Lifting an object together, sawing a wood log, transferring…