Deep Learning Tubes for Tube MPC

Deep Learning Tubes for Tube MPC

5 February 2020

Ali-akbar Agha-mohammadi

Evangelos A. Theodorou

Papers citing "Deep Learning Tubes for Tube MPC"

8 / 8 papers shown

Title
Dropout MPC: An Ensemble Neural MPC Approach for Systems with Learned Dynamics Spyridon Syntakas K. Vlachos 38 0 0 04 Jun 2024
Bridging Model-based Safety and Model-free Reinforcement Learning through System Identification of Low Dimensional Linear Models Zhongyu Li Jun Zeng A. Thirugnanam K. Sreenath 11 16 0 11 May 2022
Learning Risk-aware Costmaps for Traversability in Challenging Environments David D. Fan Sharmita Dey Ali-akbar Agha-mohammadi Evangelos A. Theodorou 31 30 0 25 Jul 2021
Dual Online Stein Variational Inference for Control and Dynamics Lucas Barcelos Alexander Lambert Rafael Oliveira Paulo Borges Byron Boots F. Ramos 4 27 0 23 Mar 2021
Limits of Probabilistic Safety Guarantees when Considering Human Uncertainty Richard Cheng R. Murray J. W. Burdick 26 6 0 05 Mar 2021
Sampling-based Reachability Analysis: A Random Set Theory Approach with Adversarial Sampling T. Lew Marco Pavone AAML 17 53 0 24 Aug 2020
Information Theoretic Model Predictive Control: Theory and Applications to Autonomous Driving Grady Williams P. Drews Brian Goldfain James M. Rehg Evangelos A. Theodorou 76 263 0 07 Jul 2017
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 247 9,134 0 06 Jun 2015