Machine learning for industrial sensing and control: A survey and practical perspective

24 January 2024

Papers citing "Machine learning for industrial sensing and control: A survey and practical perspective"

4 / 4 papers shown

Title
Safe Real-Time Optimization using Multi-Fidelity Gaussian Processes Panagiotis Petsagkourakis Benoît Chachuat Ehecatl Antonio del Rio Chanona 15 7 0 10 Nov 2021
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems Sergey Levine Aviral Kumar George Tucker Justin Fu OffRL GP 329 1,949 0 04 May 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 252 11,677 0 09 Mar 2017
Recursive co-kriging model for Design of Computer experiments with multiple levels of fidelity with an application to hydrodynamic Loic Le Gratiet AI4CE 86 291 0 02 Oct 2012