المقتنيات: Vehicular Network Spectrum Allocation Using Hybrid NOMA and Multi-agent Reinforcement Learning

Vehicular Network Spectrum Allocation Using Hybrid NOMA and Multi-agent Reinforcement Learning

The recent years have seen a proven impact of the reinforcement learning use in many applications which showed tremendous success in solving many decision-making paradigms in machine learning. Most of the successful applications involves the existence of more than one agent, which makes it fall into...

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التفاصيل البيبلوغرافية
المؤلفون الرئيسيون:	Alatabani L.E., Saeed R.A., Ali E.S., Mokhtar R.A., Khalifa O.O., Hayder G.
مؤلفون آخرون:	57224509526
التنسيق:	Conference Paper
منشور في:	Springer Nature 2024
الموضوعات:	DDPG Hybrid NOMA MARL Random allocation Reinforcement Learning Spectrum allocation V2V communications
الوسوم:	إضافة وسم لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!

Vehicular Network Spectrum Allocation Using Hybrid NOMA and Multi-agent Reinforcement Learning

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