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Global optimization / Multidisciplinary design optimization / Stochastic optimization / Random search / Genetic algorithm / BFGS method / Maximum likelihood / Mathematical optimization / Numerical analysis / Mathematical analysis


An Experimental Comparison of Bayesian Optimization for Bipedal Locomotion Roberto Calandra1 , Andr´e Seyfarth2 , Jan Peters1,3 and Marc Peter Deisenroth4,1 Abstract— The design of gaits and corresponding control poli
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Document Date: 2014-02-24 08:20:15


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File Size: 1,78 MB

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City

Haifa / Darmstadt / /

Company

SIAM Journal / MIT Press / /

Country

Germany / Israel / /

Facility

Imperial College / Max Planck Institute / /

IndustryTerm

Classical grid search / grid search / search process / random search / systematic search / grid search optimization / similar suboptimal solutions / genetic algorithms / pure random search / limited memory algorithm / Entropy search / energy efficiency / gait search / real-time online learning / good approximate solutions / ad-hoc solutions / /

Organization

Max Planck Institute for Intelligent Systems / Department of Sport Science / Imperial College London / American Mathematical Society / Department of Computer Science / MIT / Yale / Lauflabor Locomotion Lab / Intelligent Autonomous Systems Lab / Department of Computing / /

Person

Fox / Marc Peter / E. Brochu / V / J. Mockus / V / using the bio-inspired dynamical bipedal walker Fox / /

Position

gait controller / dynamic walker / bipedal walker / walker / real bipedal walker / sensor-driven neuronal controller / bio-inspired dynamical bipedal walker / Forward / probabilistic model for Bayesian optimization / suitable controller / controller / /

ProgrammingLanguage

T / /

PublishedMedium

Bioinspiration & Biomimetics / The International Journal / Journal of Zoology / Machine Learning / Journal of Machine Learning Research / /

Technology

finite state machine / GPS / limited memory algorithm / Machine Learning / simulation / /

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