MAIN: Multihead-Attention Imputation Networks

no code implementations • 10 Feb 2021 • Spyridon Mouselinos, Kyriakos Polymenakos, Antonis Nikitakis, Konstantinos Kyriakopoulos

The problem of missing data, usually absent incurated and competition-standard datasets, is an unfortunate reality for most machine learning models used in industry applications.

Imputation

SafePILCO: a software tool for safe and data-efficient policy synthesis

1 code implementation • 7 Aug 2020 • Kyriakos Polymenakos, Nikitas Rontsis, Alessandro Abate, Stephen Roberts

SafePILCO is a software tool for safe and data-efficient policy search with reinforcement learning.

reinforcement-learning Reinforcement Learning (RL)

Safety Guarantees for Planning Based on Iterative Gaussian Processes

no code implementations • 29 Nov 2019 • Kyriakos Polymenakos, Luca Laurenti, Andrea Patane, Jan-Peter Calliess, Luca Cardelli, Marta Kwiatkowska, Alessandro Abate, Stephen Roberts

Gaussian Processes (GPs) are widely employed in control and learning because of their principled treatment of uncertainty.

Gaussian Processes Safe Reinforcement Learning

Safe Policy Search with Gaussian Process Models

1 code implementation • 15 Dec 2017 • Kyriakos Polymenakos, Alessandro Abate, Stephen Roberts

We propose a method to optimise the parameters of a policy which will be used to safely perform a given task in a data-efficient manner.