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2404.13879
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Explicit Lipschitz Value Estimation Enhances Policy Robustness Against Perturbation
22 April 2024
Xulin Chen
Ruipeng Liu
Garret E. Katz
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Papers citing
"Explicit Lipschitz Value Estimation Enhances Policy Robustness Against Perturbation"
15 / 15 papers shown
Title
Policy Gradient Method For Robust Reinforcement Learning
Yue Wang
Shaofeng Zou
106
76
0
15 May 2022
Learning Smooth Neural Functions via Lipschitz Regularization
Hsueh-Ti Derek Liu
Francis Williams
Alec Jacobson
Sanja Fidler
Or Litany
78
97
0
16 Feb 2022
Learning Robust Policy against Disturbance in Transition Dynamics via State-Conservative Policy Optimization
Yufei Kuang
Miao Lu
Jie Wang
Qi Zhou
Bin Li
Houqiang Li
46
20
0
20 Dec 2021
Robust Reinforcement Learning on State Observations with Learned Optimal Adversary
Huan Zhang
Hongge Chen
Duane S. Boning
Cho-Jui Hsieh
94
164
0
21 Jan 2021
Sim-to-Real Learning of All Common Bipedal Gaits via Periodic Reward Composition
J. Siekmann
Yesh Godse
Alan Fern
J. Hurst
69
157
0
02 Nov 2020
Exactly Computing the Local Lipschitz Constant of ReLU Networks
Matt Jordan
A. Dimakis
52
112
0
02 Mar 2020
Challenges and Countermeasures for Adversarial Attacks on Deep Reinforcement Learning
Inaam Ilahi
Muhammad Usama
Junaid Qadir
M. Janjua
Ala I. Al-Fuqaha
D. Hoang
Dusit Niyato
AAML
101
135
0
27 Jan 2020
Adversarial Policies: Attacking Deep Reinforcement Learning
Adam Gleave
Michael Dennis
Cody Wild
Neel Kant
Sergey Levine
Stuart J. Russell
AAML
80
355
0
25 May 2019
Action Robust Reinforcement Learning and Applications in Continuous Control
Chen Tessler
Yonathan Efroni
Shie Mannor
64
235
0
26 Jan 2019
Lipschitz regularity of deep neural networks: analysis and efficient estimation
Kevin Scaman
Aladin Virmaux
83
529
0
28 May 2018
Sim-to-Real Transfer of Robotic Control with Dynamics Randomization
Xue Bin Peng
Marcin Andrychowicz
Wojciech Zaremba
Pieter Abbeel
102
1,364
0
18 Oct 2017
Domain Randomization for Transferring Deep Neural Networks from Simulation to the Real World
Joshua Tobin
Rachel Fong
Alex Ray
Jonas Schneider
Wojciech Zaremba
Pieter Abbeel
250
2,963
0
20 Mar 2017
Robust Adversarial Reinforcement Learning
Lerrel Pinto
James Davidson
Rahul Sukthankar
Abhinav Gupta
OOD
95
855
0
08 Mar 2017
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
540
5,897
0
08 Jul 2016
Explaining and Harnessing Adversarial Examples
Ian Goodfellow
Jonathon Shlens
Christian Szegedy
AAML
GAN
277
19,049
0
20 Dec 2014
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