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Robust Forecasting for Robotic Control: A Game-Theoretic Approach
v1v2v3 (latest)

Robust Forecasting for Robotic Control: A Game-Theoretic Approach

22 September 2022
Shubhankar Agarwal
David Fridovich-Keil
Sandeep Chinchali
    AI4TS
ArXiv (abs)PDFHTML

Papers citing "Robust Forecasting for Robotic Control: A Game-Theoretic Approach"

13 / 13 papers shown
Title
MultiPath++: Efficient Information Fusion and Trajectory Aggregation for
  Behavior Prediction
MultiPath++: Efficient Information Fusion and Trajectory Aggregation for Behavior Prediction
Balakrishnan Varadarajan
Ahmed S. Hefny
A. Srivastava
Khaled S. Refaat
Nigamaa Nayakanti
...
K. Chen
B. Douillard
C. Lam
Drago Anguelov
Benjamin Sapp
122
317
0
29 Nov 2021
Stackelberg Actor-Critic: Game-Theoretic Reinforcement Learning
  Algorithms
Stackelberg Actor-Critic: Game-Theoretic Reinforcement Learning Algorithms
Liyuan Zheng
Tanner Fiez
Zane Alumbaugh
Benjamin J. Chasnov
Lillian J. Ratliff
OffRL
87
42
0
25 Sep 2021
Learning to Predict Vehicle Trajectories with Model-based Planning
Learning to Predict Vehicle Trajectories with Model-based Planning
Haoran Song
Di Luan
Wenchao Ding
M. Y. Wang
Qifeng Chen
60
121
0
06 Mar 2021
The Computation of Approximate Generalized Feedback Nash Equilibria
The Computation of Approximate Generalized Feedback Nash Equilibria
F. Laine
David Fridovich-Keil
Chih-Yuan Chiu
Claire Tomlin
123
58
0
08 Jan 2021
Transformer Networks for Trajectory Forecasting
Transformer Networks for Trajectory Forecasting
Francesco Giuliari
Irtiza Hasan
Marco Cristani
Fabio Galasso
180
390
0
18 Mar 2020
Adversarial Examples Are Not Bugs, They Are Features
Adversarial Examples Are Not Bugs, They Are Features
Andrew Ilyas
Shibani Santurkar
Dimitris Tsipras
Logan Engstrom
Brandon Tran
Aleksander Madry
SILM
93
1,845
0
06 May 2019
Online Control with Adversarial Disturbances
Online Control with Adversarial Disturbances
Naman Agarwal
Brian Bullins
Elad Hazan
Sham Kakade
Karan Singh
44
240
0
23 Feb 2019
On Finding Local Nash Equilibria (and Only Local Nash Equilibria) in
  Zero-Sum Games
On Finding Local Nash Equilibria (and Only Local Nash Equilibria) in Zero-Sum Games
Eric V. Mazumdar
Michael I. Jordan
S. Shankar Sastry
101
120
0
03 Jan 2019
Generalizing to Unseen Domains via Adversarial Data Augmentation
Generalizing to Unseen Domains via Adversarial Data Augmentation
Riccardo Volpi
Hongseok Namkoong
Ozan Sener
John C. Duchi
Vittorio Murino
Silvio Savarese
OOD
122
786
0
30 May 2018
Multimodal Probabilistic Model-Based Planning for Human-Robot
  Interaction
Multimodal Probabilistic Model-Based Planning for Human-Robot Interaction
Edward Schmerling
Karen Leung
Wolf Vollprecht
Marco Pavone
88
173
0
25 Oct 2017
Towards Deep Learning Models Resistant to Adversarial Attacks
Towards Deep Learning Models Resistant to Adversarial Attacks
Aleksander Madry
Aleksandar Makelov
Ludwig Schmidt
Dimitris Tsipras
Adrian Vladu
SILMOOD
319
12,138
0
19 Jun 2017
DESIRE: Distant Future Prediction in Dynamic Scenes with Interacting
  Agents
DESIRE: Distant Future Prediction in Dynamic Scenes with Interacting Agents
Namhoon Lee
Wongun Choi
Paul Vernaza
Chris Choy
Philip Torr
Manmohan Chandraker
AI4TS
100
995
0
14 Apr 2017
Towards Principled Methods for Training Generative Adversarial Networks
Towards Principled Methods for Training Generative Adversarial Networks
Martín Arjovsky
M. Nault
GAN
83
2,112
0
17 Jan 2017
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