The paper focuses on developing a personalized approach to privacy-aware reinforcement learning in human-in-the-loop systems. It addresses the challenge of balancing privacy concerns with system utility by introducing an innovative early-exit strategy. The study evaluates the effectiveness of PAPER-HILT in Smart Home environments and Virtual Reality Smart Classrooms, showcasing its capability to provide a personalized equilibrium between user privacy and application utility.
เป็นภาษาอื่น
จากเนื้อหาต้นฉบับ
arxiv.org
ข้อมูลเชิงลึกที่สำคัญจาก
by Mojtaba Tahe... ที่ arxiv.org 03-12-2024
https://arxiv.org/pdf/2403.05864.pdfสอบถามเพิ่มเติม