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Improve Robustness of Reinforcement Learning against Observation
  Perturbations via $l_\infty$ Lipschitz Policy Networks

Improve Robustness of Reinforcement Learning against Observation Perturbations via l∞l_\inftyl∞​ Lipschitz Policy Networks

14 December 2023
Buqing Nie
Jingtian Ji
Yangqing Fu
Yue Gao
ArXivPDFHTML

Papers citing "Improve Robustness of Reinforcement Learning against Observation Perturbations via $l_\infty$ Lipschitz Policy Networks"

4 / 4 papers shown
Title
On Robust Reinforcement Learning with Lipschitz-Bounded Policy Networks
On Robust Reinforcement Learning with Lipschitz-Bounded Policy Networks
Nicholas H. Barbara
Ruigang Wang
I. Manchester
42
4
0
19 May 2024
Towards Optimal Adversarial Robust Q-learning with Bellman
  Infinity-error
Towards Optimal Adversarial Robust Q-learning with Bellman Infinity-error
Haoran Li
Zicheng Zhang
Wang Luo
Congying Han
Yudong Hu
Tiande Guo
Shichen Liao
AAML
34
2
0
03 Feb 2024
Robust Reinforcement Learning as a Stackelberg Game via
  Adaptively-Regularized Adversarial Training
Robust Reinforcement Learning as a Stackelberg Game via Adaptively-Regularized Adversarial Training
Peide Huang
Mengdi Xu
Fei Fang
Ding Zhao
85
37
0
19 Feb 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
67
162
0
21 Jan 2021
1