Information Theoretic Model Predictive Control: Theory and Applications
to Autonomous Driving

Information Theoretic Model Predictive Control: Theory and Applications to Autonomous Driving

7 July 2017

Evangelos A. Theodorou

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Papers citing "Information Theoretic Model Predictive Control: Theory and Applications to Autonomous Driving"

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Title
$Contraction $\mathcal{L}_1$-Adaptive Control using Gaussian Processes$ Contraction $\mathcal{L}_1$ -Adaptive Control using Gaussian Processes Aditya Gahlawat Arun Lakshmanan Lin Song Andrew Patterson Zhuohuan Wu N. Hovakimyan Evangelos Theodorou AI4CE 132 1 0 08 Sep 2020
Super-Human Performance in Gran Turismo Sport Using Deep Reinforcement Learning Florian Fuchs Yunlong Song Elia Kaufmann Davide Scaramuzza Peter Dürr 213 146 0 18 Aug 2020
Safety-Critical Model Predictive Control with Discrete-Time Control Barrier Function Jun Zeng Bike Zhang Koushil Sreenath 227 365 0 22 Jul 2020
NOVAS: Non-convex Optimization via Adaptive Stochastic Search for End-to-End Learning and Control Ioannis Exarchos M. Pereira Ziyi Wang Evangelos A. Theodorou 232 4 0 22 Jun 2020
Model Predictive Path Integral Control Framework for Partially Observable Navigation: A Quadrotor Case StudyInternational Conference on Control, Automation, Robotics and Vision (ICARCV), 2020 Ihab S. Mohamed Guillaume Allibert P. Martinet 105 39 0 18 Apr 2020
Learning-based distributionally robust motion control with Gaussian processesIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2020 A. Hakobyan Insoon Yang 191 10 0 05 Mar 2020
SACBP: Belief Space Planning for Continuous-Time Dynamical Systems via Stochastic Sequential Action ControlWorkshop on the Algorithmic Foundations of Robotics (WAFR), 2018 Haruki Nishimura Mac Schwager 181 14 0 26 Feb 2020
DISCO: Double Likelihood-free Inference Stochastic ControlIEEE International Conference on Robotics and Automation (ICRA), 2020 Lucas Barcelos Rafael Oliveira Rafael Possas Lionel Ott Fabio Ramos 199 13 0 18 Feb 2020
Deep Learning Tubes for Tube MPC David D. Fan Ali-akbar Agha-mohammadi Evangelos A. Theodorou 253 61 0 05 Feb 2020
Bayesian Learning-Based Adaptive Control for Safety Critical SystemsIEEE International Conference on Robotics and Automation (ICRA), 2019 David D. Fan Jennifer Nguyen Rohan Thakker Nikhilesh Alatur Ali-akbar Agha-mohammadi Evangelos A. Theodorou BDL 307 93 0 05 Oct 2019
Robust Guarantees for Perception-Based ControlConference on Learning for Dynamics & Control (L4DC), 2019 Sarah Dean Nikolai Matni Benjamin Recht Vickie Ye 155 88 0 08 Jul 2019
Locally Weighted Regression Pseudo-Rehearsal for Online Learning of Vehicle Dynamics Grady Williams Brian Goldfain James M. Rehg Evangelos A. Theodorou 92 12 0 13 May 2019
An Online Learning Approach to Model Predictive Control Nolan Wagener Ching-An Cheng Jacob Sacks Byron Boots 270 77 0 24 Feb 2019
Learning Deep Stochastic Optimal Control Policies using Forward-Backward SDEs M. Pereira Ziyi Wang Ioannis Exarchos Evangelos A. Theodorou 182 44 0 11 Feb 2019