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Safe and Robust Reinforcement Learning: Principles and Practice
v1v2 (latest)

Safe and Robust Reinforcement Learning: Principles and Practice

27 March 2024
Taku Yamagata
Raúl Santos-Rodríguez
    OffRL
ArXiv (abs)PDFHTMLGithub

Papers citing "Safe and Robust Reinforcement Learning: Principles and Practice"

2 / 2 papers shown
Enhancing Security in Deep Reinforcement Learning: A Comprehensive Survey on Adversarial Attacks and Defenses
Enhancing Security in Deep Reinforcement Learning: A Comprehensive Survey on Adversarial Attacks and Defenses
Wu Yichao
Wang Yirui
Ding Panpan
Wang Hailong
Zhu Bingqian
Liu Chun
AAML
200
2
0
23 Oct 2025
Near-Real-Time Resource Slicing for QoS Optimization in 5G O-RAN using Deep Reinforcement Learning
Near-Real-Time Resource Slicing for QoS Optimization in 5G O-RAN using Deep Reinforcement Learning
Peihao Yan
Jie Lu
Huacheng Zeng
Y. Thomas Hou
161
4
0
17 Sep 2025
1
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