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Towards Optimal Adversarial Robust Q-learning with Bellman
  Infinity-error

Towards Optimal Adversarial Robust Q-learning with Bellman Infinity-error

3 February 2024
Haoran Li
Zicheng Zhang
Wang Luo
Congying Han
Yudong Hu
Tiande Guo
Shichen Liao
    AAML
ArXivPDFHTML

Papers citing "Towards Optimal Adversarial Robust Q-learning with Bellman Infinity-error"

4 / 4 papers shown
Title
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
Buqing Nie
Jingtian Ji
Yangqing Fu
Yue Gao
37
4
0
14 Dec 2023
BACKDOORL: Backdoor Attack against Competitive Reinforcement Learning
BACKDOORL: Backdoor Attack against Competitive Reinforcement Learning
Lun Wang
Zaynah Javed
Xian Wu
Wenbo Guo
Xinyu Xing
D. Song
AAML
160
80
0
02 May 2021
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
Deep Reinforcement Learning for Autonomous Driving: A Survey
Deep Reinforcement Learning for Autonomous Driving: A Survey
B. R. Kiran
Ibrahim Sobh
V. Talpaert
Patrick Mannion
A. A. Sallab
S. Yogamani
P. Pérez
165
1,632
0
02 Feb 2020
1