PGN: A Perturbation Generation Network Against Deep Reinforcement Learning-Reference-Cited by-同舟云学术

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PGN: A Perturbation Generation Network Against Deep Reinforcement Learning

Published:2023-11-06 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 35th International Conference on Tools with Artificial Intelligence (ICTAI)
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Author:

Li Xiangjuan¹,Li Feifan¹,Li Yang¹,Pan Quan¹

Affiliation:

1. Northwestern Polytechnical University,Xi’an,China

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Northwestern Polytechnical University

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10356387/10356231/10356420.pdf?arnumber=10356420

Reference28 articles.

1. Playing FPS Games with Deep Reinforcement Learning

2. Virtual-to-real deep reinforcement learning: Continuous control of mobile robots for mapless navigation

3. Research on Industrial Cyber Range Based on Multi-agent Cooperative Optimization

4. Phonetic-enriched text representation for Chinese sentiment analysis with reinforcement learning

5. Intelligent resource allocation in mobile blockchain for privacy and security transactions: a deep reinforcement learning based approach

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1. Stealthy Black-Box Attack With Dynamic Threshold Against MARL-Based Traffic Signal Control System;IEEE Transactions on Industrial Informatics;2024

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