DRLO-VANET: a deep reinforcement learning-based offloading framework for low-latency and energy-efficient task execution in VANETs. [PDF]
Neelima S, Sree SR, Ramakrishnaiah N.
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Stochastic Geometric-Based Modeling for Partial Offloading Task Computing in Edge-AI Systems. [PDF]
Saeedi H, Nouruzi A.
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Multi-modal and multi-agent reinforcement learning framework for urban traffic flow prediction and signal control optimization. [PDF]
Wang R, Zhang J, Wang X, He H, Zou Y.
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Adaptive and intelligent customized deep Q-network for energy-efficient task offloading in mobile edge computing environments. [PDF]
Anand J, Karthikeyan B.
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Multi-Agent Deep Reinforcement Learning for Joint Task Offloading and Resource Allocation in IIoT with Dynamic Priorities. [PDF]
Ma Y, Zhao Y, Hu Y, He X, Feng S.
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Energy-optimized 6G communication framework with intelligent resource allocation for massive IoT networks. [PDF]
Kamal MM +11 more
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Joint Service Chain Orchestration and Computation Offloading via GNN-Based QMIX in Industrial IoT. [PDF]
Huang X, Tian B.
europepmc +1 more source
Hierarchical reinforcement learning-based traffic signal control. [PDF]
Shen J.
europepmc +1 more source
A fusion deep Q-learning and particle swarm optimization algorithm for adaptive resource allocation in cloud computing circumstances. [PDF]
Al-Jumaili AHA +4 more
europepmc +1 more source
Lightweight Reinforcement Learning for Priority-Aware Spectrum Management in Vehicular IoT Networks. [PDF]
Iqbal A, Nauman A, Khurshaid T.
europepmc +1 more source

