Enhance Sample Efficiency and Robustness of End-to-End Urban Autonomous Driving via Semantic Masked World Model
Summary
Enhance Sample Efficiency and Robustness of End-to-End Urban Autonomous Driving via Semantic Masked World Model is a scholarly article[1].
Key Facts
Enhance Sample Efficiency and Robustness of End-to-End Urban Autonomous Driving via Semantic Masked World Model's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Enhance Sample Efficiency and Robustness of End-to-End Urban Autonomous Driving via Semantic Masked World Model. Retrieved May 24, 2026, from https://4ort.xyz/entity/enhance-sample-efficiency-and-robustness-of-end-to-end-urban-autonomous-driving-via-semantic-masked-world-model
MLA“Enhance Sample Efficiency and Robustness of End-to-End Urban Autonomous Driving via Semantic Masked World Model.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/enhance-sample-efficiency-and-robustness-of-end-to-end-urban-autonomous-driving-via-semantic-masked-world-model.
BibTeX@misc{4ortxyz_enhance-sample-efficiency-and-robustness-of-end-to-end-urban-autonomous-driving-via-semantic-masked-world-model_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Enhance Sample Efficiency and Robustness of End-to-End Urban Autonomous Driving via Semantic Masked World Model}}, year = {2026}, url = {https://4ort.xyz/entity/enhance-sample-efficiency-and-robustness-of-end-to-end-urban-autonomous-driving-via-semantic-masked-world-model}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Enhance Sample Efficiency and Robustness of End-to-End Urban Autonomous Driving via Semantic Masked World Model — https://4ort.xyz/entity/enhance-sample-efficiency-and-robustness-of-end-to-end-urban-autonomous-driving-via-semantic-masked-world-model (retrieved 2026-05-24)