76 citations · 93 across the 3 of their papers we have counts for
4 papers
Support-weighted Adversarial Imitation Learning
Ruohan Wang, Carlo Ciliberto, Pierluigi Amadori +1
Adversarial Imitation Learning (AIL) is a broad family of imitation learning methods designed to mimic expert behaviors from demonstrations. While AIL has shown state-of-the-art pe…
Random Expert Distillation: Imitation Learning via Expert Policy Support Estimation
Ruohan Wang, Carlo Ciliberto, Pierluigi Amadori +1
We consider the problem of imitation learning from a finite set of expert trajectories, without access to reinforcement signals. The classical approach of extracting the expert's r…
Real-Time Workload Classification during Driving using HyperNetworks
Ruohan Wang, Pierluigi V. Amadori, Yiannis Demiris
Classifying human cognitive states from behavioral and physiological signals is a challenging problem with important applications in robotics. The problem is challenging due to the…
An Efficient Manifold Algorithm for Constructive Interference based Constant Envelope Precoding
Fan Liu, Christos Masouros, Pierluigi Vito Amadori +1
In this letter, we propose a novel manifold-based algorithm to solve the constant envelope (CE) precoding problem with interference exploitation. For a given power budget, we desig…