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2025	Intelligent Decision Algorithm for Autonomous Driving Based on Convolution Neural Network and Deep Deterministic Policy Gradient Journal of Circuits, Systems and Computers Wenbo Xu, Jiashuai Fang, Xiaoliang Chen, Hai Ding, Guosheng Wang, Yakun Gao
2025	LyDRL: Lyapunov-guided Deep Reinforcement Learning for Stable Task Offloading in Connected Autonomous Vehicles ACM Transactions on Autonomous and Adaptive Systems Yanming Chen, Ziyang Huang, Yiwen Zhang, Weiwei Fang, Neal N. Xiong
2025	Lyapunov-Assisted Decentralized Dynamic Offloading Strategy Based on Deep Reinforcement Learning IEEE Internet of Things Journal Jingjing Wang, Hui Zhang, Xu Han, Jiaxiang Zhao, Jiangzhou Wang
2025	2025 3rd International Conference on Integrated Circuits and Communication Systems (ICICACS) Vidhya Gopal, U Surendar, A Bajulunisha, M Tamilselvi, V Sathiyapriya, N Saranya
2025	A mobility-aware task offloading approach for vehicles in cloud-edge collaborative environments Cluster Computing Feiyan Guo, Xiaoqing Luo, Xingshu Liu, Yangkun Luo
2024	Reinforcement learning-based computation offloading in edge computing: Principles, methods, challenges Alexandria Engineering Journal Zhongqiang Luo, Xiang Dai
2024	RT-Cabi: an Internet of Things based framework for anomaly behavior detection with data correction through edge collaboration and dynamic feature fusion PeerJ Computer Science Xiaoshan Li, Mingming Chen
2024	Multi-Agent Reinforcement Learning-Based Computation Offloading for Unmanned Aerial Vehicle Post-Disaster Rescue Sensors Lixing Wang, Huirong Jiao
2024	Vehicle task offloading strategy based on DRL in communication and sensing scenarios Ad Hoc Networks Jianbin Xue, Qingda Yu, Luyao Wang, Changwang Fan
2023	Lecture Notes in Computer Science Aiichiro Oga, Bernady O. Apduhan
2023	DRL-Based Hybrid Task Offloading and Resource Allocation in Vehicular Networks Electronics Ziang Liu, Zongpu Jia, Xiaoyan Pang
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