RAT iLQR: A Risk Auto-Tuning Controller to Optimally Account for
Stochastic Model Mismatch

RAT iLQR: A Risk Auto-Tuning Controller to Optimally Account for Stochastic Model Mismatch

16 October 2020

Haruki Nishimura

Adrien Gaidon

Papers citing "RAT iLQR: A Risk Auto-Tuning Controller to Optimally Account for Stochastic Model Mismatch"

9 / 9 papers shown

Title
MATS: An Interpretable Trajectory Forecasting Representation for Planning and Control Boris Ivanovic Amine Elhafsi Guy Rosman Adrien Gaidon Marco Pavone 36 53 0 16 Sep 2020
Risk-Sensitive Sequential Action Control with Multi-Modal Human Trajectory Forecasting for Safe Crowd-Robot Interaction Haruki Nishimura Boris Ivanovic Adrien Gaidon Marco Pavone Mac Schwager 48 36 0 12 Sep 2020
Fast Risk Assessment for Autonomous Vehicles Using Learned Models of Agent Futures Allen Wang Xin Huang A. Jasour B. Williams 36 32 0 27 May 2020
FormulaZero: Distributionally Robust Online Adaptation via Offline Population Synthesis Aman Sinha Matthew O'Kelly Hongrui Zheng Rahul Mangharam John C. Duchi Russ Tedrake OffRL 93 27 0 09 Mar 2020
MultiPath: Multiple Probabilistic Anchor Trajectory Hypotheses for Behavior Prediction Yuning Chai Benjamin Sapp Mayank Bansal Dragomir Anguelov 81 659 0 12 Oct 2019
Curious iLQR: Resolving Uncertainty in Model-based RL Sarah Bechtle Yixin Lin Akshara Rai Ludovic Righetti Franziska Meier 51 34 0 15 Apr 2019
Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models Kurtland Chua Roberto Calandra R. McAllister Sergey Levine BDL 166 1,263 0 30 May 2018
How Should a Robot Assess Risk? Towards an Axiomatic Theory of Risk in Robotics Anirudha Majumdar Marco Pavone 65 194 0 30 Oct 2017
Multimodal Probabilistic Model-Based Planning for Human-Robot Interaction Edward Schmerling Karen Leung Wolf Vollprecht Marco Pavone 72 173 0 25 Oct 2017