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Authors
Freek Stulp (0000-0001-9555-9517), Gennaro Raiola (0000-0003-1481-1106)
Citation
Stulp et al., (2019). DmpBbo: A versatile Python/C++ library for Function Approximation, Dynamical Movement Primitives, and Black-Box Optimization. Journal of Open Source Software, 4(37), 1225, https://doi.org/10.21105/joss.01225
@article{Stulp2019,
doi = {10.21105/joss.01225},
url = {https://doi.org/10.21105/joss.01225},
year = {2019},
publisher = {The Open Journal},
volume = {4},
number = {37},
pages = {1225},
author = {Freek Stulp and Gennaro Raiola},
title = {DmpBbo: A versatile Python/C++ library for Function Approximation, Dynamical Movement Primitives, and Black-Box Optimization},
journal = {Journal of Open Source Software}
}
Tags
Robotics Motion Primitives Machine Learning
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