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). Coarse-to-Fine Q-attention: Efficient Learning for Visual Robotic Manipulation via Discretisation. Retrieved May 24, 2026, from https://4ort.xyz/entity/coarse-to-fine-q-attention-efficient-learning-for-visual-robotic-manipulation-via-discretisation
MLA“Coarse-to-Fine Q-attention: Efficient Learning for Visual Robotic Manipulation via Discretisation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/coarse-to-fine-q-attention-efficient-learning-for-visual-robotic-manipulation-via-discretisation.
BibTeX@misc{4ortxyz_coarse-to-fine-q-attention-efficient-learning-for-visual-robotic-manipulation-via-discretisation_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Coarse-to-Fine Q-attention: Efficient Learning for Visual Robotic Manipulation via Discretisation}}, year = {2026}, url = {https://4ort.xyz/entity/coarse-to-fine-q-attention-efficient-learning-for-visual-robotic-manipulation-via-discretisation}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Coarse-to-Fine Q-attention: Efficient Learning for Visual Robotic Manipulation via Discretisation — https://4ort.xyz/entity/coarse-to-fine-q-attention-efficient-learning-for-visual-robotic-manipulation-via-discretisation (retrieved 2026-05-24)
