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Risk-Preserving Policy Distillation for Lightweight Onboard Resource Allocation in AI-Enabled VANETs

Deep reinforcement learning (DRL) enables adaptive spectrum and power allocation in highly dynamic vehicular ad hoc networks, but full-size policies are often impractical for resource-constrained...

Author: Huong Tran Thi

Keyword: Risk-preserving policy distillation Tail-risk-aware resource allocation Critical-state-aware model compression Constrained deep reinforcement learning VANET spectrum and power allocation.

Vinh University journal of science

Tạp chí khoa học Trường Đại học Vinh

ISSN: 1859 - 2228

Governing body: Vinh University

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License: 163/GP-BTTTT issued by the Minister of Information and Communications on May 10, 2023

Open Access License: Creative Commons CC BY NC 4.0

 

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