FormulaZero: Distributionally Robust Online Adaptation via Offline Population Synthesis

9 March 2020

Papers citing "FormulaZero: Distributionally Robust Online Adaptation via Offline Population Synthesis"

20 / 20 papers shown

Title
A Super-human Vision-based Reinforcement Learning Agent for Autonomous Racing in Gran Turismo Miguel Vasco Takuma Seno Kenta Kawamoto K. Subramanian Peter R. Wurman Peter Stone 24 5 0 18 Jun 2024
Bridging the Gap between Discrete Agent Strategies in Game Theory and Continuous Motion Planning in Dynamic Environments Hongrui Zheng Zhijun Zhuang Stephanie Wu Shuo Yang Rahul Mangharam 12 1 0 17 Mar 2024
Integrating Predictive Motion Uncertainties with Distributionally Robust Risk-Aware Control for Safe Robot Navigation in Crowds Kanghyun Ryu Negar Mehr 27 8 0 08 Mar 2024
Assessing the Robustness of LiDAR, Radar and Depth Cameras Against Ill-Reflecting Surfaces in Autonomous Vehicles: An Experimental Study Michael Loetscher Nicolas Baumann Edoardo Ghignone Andrea Ronco Michele Magno 11 1 0 19 Sep 2023
Robust Multi-Agent Reinforcement Learning with State Uncertainty Sihong He Songyang Han Sanbao Su Shuo Han Shaofeng Zou Fei Miao OOD 16 32 0 30 Jul 2023
What is the Solution for State-Adversarial Multi-Agent Reinforcement Learning? Songyang Han Sanbao Su Sihong He Shuo Han Haizhao Yang Shaofeng Zou Fei Miao AAML 17 22 0 06 Dec 2022
Group Distributionally Robust Reinforcement Learning with Hierarchical Latent Variables Mengdi Xu Peide Huang Yaru Niu Visak C. V. Kumar Jielin Qiu ... Kuan-Hui Lee Xuewei Qi H. Lam Bo-wen Li Ding Zhao OOD 47 8 0 21 Oct 2022
RAP: Risk-Aware Prediction for Robust Planning Haruki Nishimura Jean-Pierre Mercat Blake Wulfe R. McAllister Adrien Gaidon OOD 18 17 0 04 Oct 2022
Trustworthy Reinforcement Learning Against Intrinsic Vulnerabilities: Robustness, Safety, and Generalizability Mengdi Xu Zuxin Liu Peide Huang Wenhao Ding Zhepeng Cen Bo-wen Li Ding Zhao 56 45 0 16 Sep 2022
Game-theoretic Objective Space Planning Hongrui Zheng Zhijun Zhuang Johannes Betz Rahul Mangharam 13 6 0 16 Sep 2022
NAUTS: Negotiation for Adaptation to Unstructured Terrain Surfaces S. Siva Maggie B. Wigness J. Rogers Long Quang Hao Zhang 9 5 0 27 Jul 2022
Winning the 3rd Japan Automotive AI Challenge -- Autonomous Racing with the Autoware.Auto Open Source Software Stack Zirui Zang Renukanandan Tumu Johannes Betz Hongrui Zheng Rahul Mangharam 11 9 0 01 Jun 2022
TUM autonomous motorsport: An autonomous racing software for the Indy Autonomous Challenge Johannes Betz Tobias Betz F. Fent Maximilian Geisslinger Alexander Heilmeier ... Florian Sauerbeck Tim Stahl Rainer Trauth Frederik Werner A. Wischnewski 16 41 0 31 May 2022
Autonomous Vehicles on the Edge: A Survey on Autonomous Vehicle Racing Johannes Betz Hongrui Zheng Alexander Liniger Ugo Rosolia Phillip Karle Madhur Behl V. Krovi Rahul Mangharam 20 199 0 14 Feb 2022
Distributionally Robust Learning Ruidi Chen I. Paschalidis OOD 12 65 0 20 Aug 2021
Generating Adversarial Disturbances for Controller Verification Udaya Ghai David Snyder Anirudha Majumdar Elad Hazan 26 9 0 12 Dec 2020
RAT iLQR: A Risk Auto-Tuning Controller to Optimally Account for Stochastic Model Mismatch Haruki Nishimura Negar Mehr Adrien Gaidon Mac Schwager 12 11 0 16 Oct 2020
BayesRace: Learning to race autonomously using prior experience Achin Jain Matthew O'Kelly Pratik Chaudhari M. Morari 11 26 0 10 May 2020
Probabilistic Model-Agnostic Meta-Learning Chelsea Finn Kelvin Xu Sergey Levine BDL 163 664 0 07 Jun 2018
Determinantal point processes for machine learning Alex Kulesza B. Taskar 146 1,045 0 25 Jul 2012