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Combining trajectory optimization, supervised machine learning, and model structure for mitigating the curse of dimensionality in the control of bipedal robots
Research article (The International Journal of Robotics Research, 2019) · cited 66× · AI/ML
Combining trajectory optimization, supervised machine learning, and model structure for mitigating the curse of dimensionality in the control of bipedal robots
Summary
Combining trajectory optimization, supervised machine learning, and model structure for mitigating the curse of dimensionality in the control of bipedal robots is a scholarly article[1].
Key Facts
Combining trajectory optimization, supervised machine learning, and model structure for mitigating the curse of dimensionality in the control of bipedal robots's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Combining trajectory optimization, supervised machine learning, and model structure for mitigating the curse of dimensionality in the control of bipedal robots. Retrieved May 24, 2026, from https://4ort.xyz/entity/combining-trajectory-optimization-supervised-machine-learning-and-model-structure-for-mitigating-the-curse-of-dimensiona
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BibTeX@misc{4ortxyz_combining-trajectory-optimization-supervised-machine-learning-and-model-structure-for-mitigating-the-curse-of-dimensiona_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Combining trajectory optimization, supervised machine learning, and model structure for mitigating the curse of dimensionality in the control of bipedal robots}}, year = {2026}, url = {https://4ort.xyz/entity/combining-trajectory-optimization-supervised-machine-learning-and-model-structure-for-mitigating-the-curse-of-dimensiona}, note = {Accessed: 2026-05-24}}
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