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An Edge Computing Framework for Powertrain Control System Optimization of Intelligent and Connected Vehicles Based on Curiosity-Driven Deep Reinforcement Learning
Research article (IEEE Transactions on Industrial Electronics, 2020) · cited 40× · AI/ML
An Edge Computing Framework for Powertrain Control System Optimization of Intelligent and Connected Vehicles Based on Curiosity-Driven Deep Reinforcement Learning
Summary
An Edge Computing Framework for Powertrain Control System Optimization of Intelligent and Connected Vehicles Based on Curiosity-Driven Deep Reinforcement Learning is a scholarly article[1].
Key Facts
An Edge Computing Framework for Powertrain Control System Optimization of Intelligent and Connected Vehicles Based on Curiosity-Driven Deep Reinforcement Learning's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). An Edge Computing Framework for Powertrain Control System Optimization of Intelligent and Connected Vehicles Based on Curiosity-Driven Deep Reinforcement Learning. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-edge-computing-framework-for-powertrain-control-system-optimization-of-intelligent-and-connected-vehicles-based-on-cu
MLA“An Edge Computing Framework for Powertrain Control System Optimization of Intelligent and Connected Vehicles Based on Curiosity-Driven Deep Reinforcement Learning.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-edge-computing-framework-for-powertrain-control-system-optimization-of-intelligent-and-connected-vehicles-based-on-cu.
BibTeX@misc{4ortxyz_an-edge-computing-framework-for-powertrain-control-system-optimization-of-intelligent-and-connected-vehicles-based-on-cu_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An Edge Computing Framework for Powertrain Control System Optimization of Intelligent and Connected Vehicles Based on Curiosity-Driven Deep Reinforcement Learning}}, year = {2026}, url = {https://4ort.xyz/entity/an-edge-computing-framework-for-powertrain-control-system-optimization-of-intelligent-and-connected-vehicles-based-on-cu}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): An Edge Computing Framework for Powertrain Control System Optimization of Intelligent and Connected Vehicles Based on Curiosity-Driven Deep Reinforcement Learning — https://4ort.xyz/entity/an-edge-computing-framework-for-powertrain-control-system-optimization-of-intelligent-and-connected-vehicles-based-on-cu (retrieved 2026-05-24)
