Efficient Adversarially Guided Actor–Critic

Mao Xu; Shuzhi Sam Ge; Dongjie Zhao; Qian Zhao

doi:10.1109/tg.2024.3453444

ScienceGate Book Chapters

JOURNAL ARTICLE

Efficient Adversarially Guided Actor–Critic

Mao Xu Shuzhi Sam Ge Dongjie Zhao Qian Zhao

Year: 2024 Journal: IEEE Transactions on Games Vol: 17 (2)Pages: 346-359 Publisher: Institute of Electrical and Electronics Engineers

DOI: 10.1109/tg.2024.3453444

Get Full-Text PDF Get Analytical Report

Keywords:

Computer science Communication Artificial intelligence Cognitive science Epistemology Sociology Psychology Philosophy

Metrics

Cited By

0.00

FWCI (Field Weighted Citation Impact)

Refs

0.13

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Topics

Adversarial Robustness in Machine Learning

Physical Sciences → Computer Science → Artificial Intelligence

Physical Unclonable Functions (PUFs) and Hardware Security

Physical Sciences → Computer Science → Hardware and Architecture

Advanced Malware Detection Techniques

Physical Sciences → Computer Science → Signal Processing

Efficient Adversarially Guided Actor–Critic

Metrics

Topics

Related Documents

Modified Annealed Adversarial Bonus for Adversarially Guided Actor-Critic

Efficient Multi-Agent Exploration with Mutual-Guided Actor-Critic

Adversarially Trained Weighted Actor-Critic for Safe Offline Reinforcement Learning

Are Malware Detection Classifiers Adversarially Vulnerable to Actor-Critic based Evasion Attacks?

An Experience-Guided Deep Deterministic Actor-Critic Algorithm with Multi-Actor