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FormulaZero: Distributionally Robust Online Adaptation via Offline
  Population Synthesis
v1v2 (latest)

FormulaZero: Distributionally Robust Online Adaptation via Offline Population Synthesis

International Conference on Machine Learning (ICML), 2020
9 March 2020
Aman Sinha
Matthew O'Kelly
Hongrui Zheng
Rahul Mangharam
John C. Duchi
Russ Tedrake
    OffRL
ArXiv (abs)PDFHTML

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

15 / 15 papers shown
Bridging the Gap between Discrete Agent Strategies in Game Theory and Continuous Motion Planning in Dynamic Environments
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
388
3
0
17 Mar 2024
Assessing the Robustness of LiDAR, Radar and Depth Cameras Against
  Ill-Reflecting Surfaces in Autonomous Vehicles: An Experimental Study
Assessing the Robustness of LiDAR, Radar and Depth Cameras Against Ill-Reflecting Surfaces in Autonomous Vehicles: An Experimental StudyWorld Forum on Internet of Things (WF-IoT), 2023
Michael Loetscher
Nicolas Baumann
Edoardo Ghignone
Andrea Ronco
Michele Magno
344
8
0
19 Sep 2023
What is the Solution for State-Adversarial Multi-Agent Reinforcement
  Learning?
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
673
33
0
06 Dec 2022
Group Distributionally Robust Reinforcement Learning with Hierarchical
  Latent Variables
Group Distributionally Robust Reinforcement Learning with Hierarchical Latent VariablesInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2022
Mengdi Xu
Peide Huang
Yaru Niu
Visak C. V. Kumar
Jielin Qiu
...
Kuan-Hui Lee
Xuewei Qi
Henry Lam
Yue Liu
Ding Zhao
OOD
285
10
0
21 Oct 2022
RAP: Risk-Aware Prediction for Robust Planning
RAP: Risk-Aware Prediction for Robust PlanningConference on Robot Learning (CoRL), 2022
Haruki Nishimura
Jean Mercat
Blake Wulfe
R. McAllister
Adrien Gaidon
OOD
364
19
0
04 Oct 2022
Trustworthy Reinforcement Learning Against Intrinsic Vulnerabilities:
  Robustness, Safety, and Generalizability
Trustworthy Reinforcement Learning Against Intrinsic Vulnerabilities: Robustness, Safety, and Generalizability
Mengdi Xu
Zuxin Liu
Peide Huang
Wenhao Ding
Zhepeng Cen
Yue Liu
Ding Zhao
472
53
0
16 Sep 2022
Game-theoretic Objective Space Planning
Game-theoretic Objective Space Planning
Hongrui Zheng
Zhijun Zhuang
Johannes Betz
Rahul Mangharam
218
7
0
16 Sep 2022
NAUTS: Negotiation for Adaptation to Unstructured Terrain Surfaces
NAUTS: Negotiation for Adaptation to Unstructured Terrain SurfacesIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2022
S. Siva
Maggie B. Wigness
J. Rogers
Long Quang
Hao Zhang
310
10
0
27 Jul 2022
Winning the 3rd Japan Automotive AI Challenge -- Autonomous Racing with
  the Autoware.Auto Open Source Software Stack
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
258
13
0
01 Jun 2022
TUM autonomous motorsport: An autonomous racing software for the Indy
  Autonomous Challenge
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
327
91
0
31 May 2022
Autonomous Vehicles on the Edge: A Survey on Autonomous Vehicle Racing
Autonomous Vehicles on the Edge: A Survey on Autonomous Vehicle RacingIEEE Open Journal of Intelligent Transportation Systems (JOITS), 2022
Johannes Betz
Hongrui Zheng
Alexander Liniger
Ugo Rosolia
Phillip Karle
Madhur Behl
Venkat Krovi
Rahul Mangharam
297
315
0
14 Feb 2022
Distributionally Robust Learning
Distributionally Robust Learning
Ruidi Chen
I. Paschalidis
OOD
447
77
0
20 Aug 2021
Generating Adversarial Disturbances for Controller Verification
Generating Adversarial Disturbances for Controller VerificationConference on Learning for Dynamics & Control (L4DC), 2020
Udaya Ghai
David Snyder
Anirudha Majumdar
Elad Hazan
392
10
0
12 Dec 2020
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
Haruki Nishimura
Negar Mehr
Adrien Gaidon
Mac Schwager
362
16
0
16 Oct 2020
BayesRace: Learning to race autonomously using prior experience
BayesRace: Learning to race autonomously using prior experience
Achin Jain
Matthew O'Kelly
Pratik Chaudhari
M. Morari
305
33
0
10 May 2020
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