Curiosity-Driven Energy-Efficient Worker Scheduling in Vehicular Crowdsourcing: A Deep Reinforcement Learning Approach
Summary
Curiosity-Driven Energy-Efficient Worker Scheduling in Vehicular Crowdsourcing: A Deep Reinforcement Learning Approach is a scholarly article[1].
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Curiosity-Driven Energy-Efficient Worker Scheduling in Vehicular Crowdsourcing: A Deep Reinforcement Learning Approach's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Curiosity-Driven Energy-Efficient Worker Scheduling in Vehicular Crowdsourcing: A Deep Reinforcement Learning Approach. Retrieved May 24, 2026, from https://4ort.xyz/entity/curiosity-driven-energy-efficient-worker-scheduling-in-vehicular-crowdsourcing-a-deep-reinforcement-learning-approach
MLA“Curiosity-Driven Energy-Efficient Worker Scheduling in Vehicular Crowdsourcing: A Deep Reinforcement Learning Approach.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/curiosity-driven-energy-efficient-worker-scheduling-in-vehicular-crowdsourcing-a-deep-reinforcement-learning-approach.
BibTeX@misc{4ortxyz_curiosity-driven-energy-efficient-worker-scheduling-in-vehicular-crowdsourcing-a-deep-reinforcement-learning-approach_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Curiosity-Driven Energy-Efficient Worker Scheduling in Vehicular Crowdsourcing: A Deep Reinforcement Learning Approach}}, year = {2026}, url = {https://4ort.xyz/entity/curiosity-driven-energy-efficient-worker-scheduling-in-vehicular-crowdsourcing-a-deep-reinforcement-learning-approach}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Curiosity-Driven Energy-Efficient Worker Scheduling in Vehicular Crowdsourcing: A Deep Reinforcement Learning Approach — https://4ort.xyz/entity/curiosity-driven-energy-efficient-worker-scheduling-in-vehicular-crowdsourcing-a-deep-reinforcement-learning-approach (retrieved 2026-05-24)
