Distributed Deep Reinforcement Learning Via Split Computing For Connected Autonomous Vehicles
This paper proposes the application of split computing paradigms for deep reinforcement learning through distributed computation between Connected Autonomous Vehicles (CAVs) and edge servers. While this approach has been explored in computer vision, it remains largely unexplored for reinforcement le...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Sciendo
2025-06-01
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| Series: | Acta Electrotechnica et Informatica |
| Subjects: | |
| Online Access: | https://doi.org/10.2478/aei-2025-0008 |
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