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Optimizing robotic arm control using deep Q-learning and artificial neural networks through demonstration-based methodologies: A case study of dynamic and static conditions
Research article (Robotics and Autonomous Systems, 2024) · cited 13× · AI/ML
Optimizing robotic arm control using deep Q-learning and artificial neural networks through demonstration-based methodologies: A case study of dynamic and static conditions
Summary
Optimizing robotic arm control using deep Q-learning and artificial neural networks through demonstration-based methodologies: A case study of dynamic and static conditions is a scholarly article[1].
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Optimizing robotic arm control using deep Q-learning and artificial neural networks through demonstration-based methodologies: A case study of dynamic and static conditions's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Optimizing robotic arm control using deep Q-learning and artificial neural networks through demonstration-based methodologies: A case study of dynamic and static conditions. Retrieved May 24, 2026, from https://4ort.xyz/entity/optimizing-robotic-arm-control-using-deep-q-learning-and-artificial-neural-networks-through-demonstration-based-methodol
MLA“Optimizing robotic arm control using deep Q-learning and artificial neural networks through demonstration-based methodologies: A case study of dynamic and static conditions.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/optimizing-robotic-arm-control-using-deep-q-learning-and-artificial-neural-networks-through-demonstration-based-methodol.
BibTeX@misc{4ortxyz_optimizing-robotic-arm-control-using-deep-q-learning-and-artificial-neural-networks-through-demonstration-based-methodol_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Optimizing robotic arm control using deep Q-learning and artificial neural networks through demonstration-based methodologies: A case study of dynamic and static conditions}}, year = {2026}, url = {https://4ort.xyz/entity/optimizing-robotic-arm-control-using-deep-q-learning-and-artificial-neural-networks-through-demonstration-based-methodol}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Optimizing robotic arm control using deep Q-learning and artificial neural networks through demonstration-based methodologies: A case study of dynamic and static conditions — https://4ort.xyz/entity/optimizing-robotic-arm-control-using-deep-q-learning-and-artificial-neural-networks-through-demonstration-based-methodol (retrieved 2026-05-24)
