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Explicit Lipschitz Value Estimation Enhances Policy Robustness Against
  Perturbation

Explicit Lipschitz Value Estimation Enhances Policy Robustness Against Perturbation

22 April 2024
Xulin Chen
Ruipeng Liu
Garret E. Katz
ArXivPDFHTML

Papers citing "Explicit Lipschitz Value Estimation Enhances Policy Robustness Against Perturbation"

4 / 4 papers shown
Title
Policy Gradient Method For Robust Reinforcement Learning
Policy Gradient Method For Robust Reinforcement Learning
Yue Wang
Shaofeng Zou
81
67
0
15 May 2022
Robust Reinforcement Learning on State Observations with Learned Optimal
  Adversary
Robust Reinforcement Learning on State Observations with Learned Optimal Adversary
Huan Zhang
Hongge Chen
Duane S. Boning
Cho-Jui Hsieh
64
162
0
21 Jan 2021
Challenges and Countermeasures for Adversarial Attacks on Deep
  Reinforcement Learning
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
57
132
0
27 Jan 2020
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
281
5,835
0
08 Jul 2016
1