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QoS based Deep Reinforcement Learning for V2X Resource Allocation

Research article (2020 IEEE International Black Sea Conference on Communications and Networking (BlackSeaCom), 2020) · cited 12× · AI/ML
academia openalex:W3097024372
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QoS based Deep Reinforcement Learning for V2X Resource Allocation

Summary

QoS based Deep Reinforcement Learning for V2X Resource Allocation is a scholarly article[1].

Key Facts

  • QoS based Deep Reinforcement Learning for V2X Resource Allocation's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). QoS based Deep Reinforcement Learning for V2X Resource Allocation. Retrieved May 24, 2026, from https://4ort.xyz/entity/qos-based-deep-reinforcement-learning-for-v2x-resource-allocation
MLA “QoS based Deep Reinforcement Learning for V2X Resource Allocation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/qos-based-deep-reinforcement-learning-for-v2x-resource-allocation.
BibTeX @misc{4ortxyz_qos-based-deep-reinforcement-learning-for-v2x-resource-allocation_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{QoS based Deep Reinforcement Learning for V2X Resource Allocation}}, year = {2026}, url = {https://4ort.xyz/entity/qos-based-deep-reinforcement-learning-for-v2x-resource-allocation}, note = {Accessed: 2026-05-24}}
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