Computation offloading strategy based on deep reinforcement learning for connected and autonomous vehicle in vehicular edge computing

Research article (Journal of Cloud Computing Advances Systems and Applications, 2021) · cited 40× · AI/ML
Press Enter · cited answer in seconds

Computation offloading strategy based on deep reinforcement learning for connected and autonomous vehicle in vehicular edge computing

Summary

Computation offloading strategy based on deep reinforcement learning for connected and autonomous vehicle in vehicular edge computing is a scholarly article[1].

Key Facts

  • Computation offloading strategy based on deep reinforcement learning for connected and autonomous vehicle in vehicular edge computing's instance of is recorded as scholarly article[2].

📑 Cite this page

Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). Computation offloading strategy based on deep reinforcement learning for connected and autonomous vehicle in vehicular edge computing. Retrieved May 24, 2026, from https://4ort.xyz/entity/computation-offloading-strategy-based-on-deep-reinforcement-learning-for-connected-and-autonomous-vehicle-in-vehicular-e
MLA “Computation offloading strategy based on deep reinforcement learning for connected and autonomous vehicle in vehicular edge computing.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/computation-offloading-strategy-based-on-deep-reinforcement-learning-for-connected-and-autonomous-vehicle-in-vehicular-e.
BibTeX @misc{4ortxyz_computation-offloading-strategy-based-on-deep-reinforcement-learning-for-connected-and-autonomous-vehicle-in-vehicular-e_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Computation offloading strategy based on deep reinforcement learning for connected and autonomous vehicle in vehicular edge computing}}, year = {2026}, url = {https://4ort.xyz/entity/computation-offloading-strategy-based-on-deep-reinforcement-learning-for-connected-and-autonomous-vehicle-in-vehicular-e}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Computation offloading strategy based on deep reinforcement learning for connected and autonomous vehicle in vehicular edge computing — https://4ort.xyz/entity/computation-offloading-strategy-based-on-deep-reinforcement-learning-for-connected-and-autonomous-vehicle-in-vehicular-e (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/computation-offloading-strategy-based-on-deep-reinforcement-learning-for-connected-and-autonomous-vehicle-in-vehicular-e · Last refreshed: