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Dyna-PINN: Physics-informed deep dyna-q reinforcement learning for intelligent control of building heating system in low-diversity training data regimes
Research article (Energy and Buildings, 2024) · cited 22× · AI/ML
Dyna-PINN: Physics-informed deep dyna-q reinforcement learning for intelligent control of building heating system in low-diversity training data regimes
Summary
Dyna-PINN: Physics-informed deep dyna-q reinforcement learning for intelligent control of building heating system in low-diversity training data regimes is a scholarly article[1].
Key Facts
Dyna-PINN: Physics-informed deep dyna-q reinforcement learning for intelligent control of building heating system in low-diversity training data regimes's instance of is recorded as scholarly article[2].
References
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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). Dyna-PINN: Physics-informed deep dyna-q reinforcement learning for intelligent control of building heating system in low-diversity training data regimes. Retrieved May 24, 2026, from https://4ort.xyz/entity/dyna-pinn-physics-informed-deep-dyna-q-reinforcement-learning-for-intelligent-control-of-building-heating-system-in-low-
MLA“Dyna-PINN: Physics-informed deep dyna-q reinforcement learning for intelligent control of building heating system in low-diversity training data regimes.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/dyna-pinn-physics-informed-deep-dyna-q-reinforcement-learning-for-intelligent-control-of-building-heating-system-in-low-.
BibTeX@misc{4ortxyz_dyna-pinn-physics-informed-deep-dyna-q-reinforcement-learning-for-intelligent-control-of-building-heating-system-in-low-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Dyna-PINN: Physics-informed deep dyna-q reinforcement learning for intelligent control of building heating system in low-diversity training data regimes}}, year = {2026}, url = {https://4ort.xyz/entity/dyna-pinn-physics-informed-deep-dyna-q-reinforcement-learning-for-intelligent-control-of-building-heating-system-in-low-}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Dyna-PINN: Physics-informed deep dyna-q reinforcement learning for intelligent control of building heating system in low-diversity training data regimes — https://4ort.xyz/entity/dyna-pinn-physics-informed-deep-dyna-q-reinforcement-learning-for-intelligent-control-of-building-heating-system-in-low- (retrieved 2026-05-24)
