Home ›
Entities
› academia
› Space-weighted information fusion using deep reinforcement learning: The context of tactical control of lane-changing autonomous vehicles and connectivity range assessment
Space-weighted information fusion using deep reinforcement learning: The context of tactical control of lane-changing autonomous vehicles and connectivity range assessment
Research article (Transportation Research Part C Emerging Technologies, 2021) · cited 97× · AI/ML
Space-weighted information fusion using deep reinforcement learning: The context of tactical control of lane-changing autonomous vehicles and connectivity range assessment
Summary
Space-weighted information fusion using deep reinforcement learning: The context of tactical control of lane-changing autonomous vehicles and connectivity range assessment is a scholarly article[1].
Key Facts
Space-weighted information fusion using deep reinforcement learning: The context of tactical control of lane-changing autonomous vehicles and connectivity range assessment's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
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.
APA4ort.xyz Knowledge Graph. (2026). Space-weighted information fusion using deep reinforcement learning: The context of tactical control of lane-changing autonomous vehicles and connectivity range assessment. Retrieved May 24, 2026, from https://4ort.xyz/entity/space-weighted-information-fusion-using-deep-reinforcement-learning-the-context-of-tactical-control-of-lane-changing-aut
MLA“Space-weighted information fusion using deep reinforcement learning: The context of tactical control of lane-changing autonomous vehicles and connectivity range assessment.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/space-weighted-information-fusion-using-deep-reinforcement-learning-the-context-of-tactical-control-of-lane-changing-aut.
BibTeX@misc{4ortxyz_space-weighted-information-fusion-using-deep-reinforcement-learning-the-context-of-tactical-control-of-lane-changing-aut_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Space-weighted information fusion using deep reinforcement learning: The context of tactical control of lane-changing autonomous vehicles and connectivity range assessment}}, year = {2026}, url = {https://4ort.xyz/entity/space-weighted-information-fusion-using-deep-reinforcement-learning-the-context-of-tactical-control-of-lane-changing-aut}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Space-weighted information fusion using deep reinforcement learning: The context of tactical control of lane-changing autonomous vehicles and connectivity range assessment — https://4ort.xyz/entity/space-weighted-information-fusion-using-deep-reinforcement-learning-the-context-of-tactical-control-of-lane-changing-aut (retrieved 2026-05-24)