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Optimal Attacks on Reinforcement Learning Policies

Optimal Attacks on Reinforcement Learning Policies

31 July 2019
Alessio Russo
Alexandre Proutière
    AAML
ArXivPDFHTML

Papers citing "Optimal Attacks on Reinforcement Learning Policies"

5 / 5 papers shown
Title
SoK: Adversarial Machine Learning Attacks and Defences in Multi-Agent
  Reinforcement Learning
SoK: Adversarial Machine Learning Attacks and Defences in Multi-Agent Reinforcement Learning
Maxwell Standen
Junae Kim
Claudia Szabo
AAML
32
5
0
11 Jan 2023
A Survey on Reinforcement Learning Security with Application to
  Autonomous Driving
A Survey on Reinforcement Learning Security with Application to Autonomous Driving
Ambra Demontis
Maura Pintor
Luca Demetrio
Kathrin Grosse
Hsiao-Ying Lin
Chengfang Fang
Battista Biggio
Fabio Roli
AAML
42
4
0
12 Dec 2022
Imitating Opponent to Win: Adversarial Policy Imitation Learning in
  Two-player Competitive Games
Imitating Opponent to Win: Adversarial Policy Imitation Learning in Two-player Competitive Games
Viet The Bui
Tien Mai
T. Nguyen
AAML
33
5
0
30 Oct 2022
Deep-Attack over the Deep Reinforcement Learning
Deep-Attack over the Deep Reinforcement Learning
Yang Li
Quanbiao Pan
Erik Cambria
AAML
16
13
0
02 May 2022
Stealing Deep Reinforcement Learning Models for Fun and Profit
Stealing Deep Reinforcement Learning Models for Fun and Profit
Kangjie Chen
Shangwei Guo
Tianwei Zhang
Xiaofei Xie
Yang Liu
MLAU
MIACV
OffRL
24
45
0
09 Jun 2020
1