@article{doncieux2021learning,
author = {Stephane Doncieux},
title = {Apprendre aux robots à faire face à l'imprévu},
journal = {Industries et Technologies},
volume = {1045},
note = {Cahier Technique},
year = {2021}
}
@article{raffin2021fault,
title = {Fault-Tolerant Six-DoF Pose Estimation for Tendon-Driven Continuum Mechanisms},
author = {Raffin, Antonin and Deutschmann, Bastian and Stulp, Freek},
journal = {Frontiers in Robotics and AI},
volume = {8},
pages = {11},
year = {2021},
url = {https://www.frontiersin.org/articles/10.3389/frobt.2021.619238/abstract},
publisher = {Frontiers}
}
@inbook{salehi21brns,
author = {Salehi, Achkan and Coninx, Alexandre and Doncieux, Stephane},
title = {BR-NS: An Archive-Less Approach to Novelty Search},
year = {2021},
isbn = {9781450383509},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3449639.3459303},
booktitle = {Proceedings of the Genetic and Evolutionary Computation Conference},
pages = {172–179},
numpages = {8}
}
@inproceedings{raffin2021smooth,
author = {Antonin Raffin and Jens Kober and Freek Stulp},
title = {Smooth Exploration for Robotic Reinforcement Learning},
booktitle = {Conference on Robot Learning},
year = {2021}
}
@article{raffin2021sb3,
author = {Antonin Raffin and Ashley Hill and Adam Gleave and Anssi Kanervisto and Maximilian Ernestus and Noah Dormann},
title = {Stable-Baselines3: Reliable Reinforcement Learning Implementations},
journal = {Journal of Machine Learning Research},
year = {2021},
volume = {22},
number = {268},
pages = {1-8},
url = {http://jmlr.org/papers/v22/20-1364.html}
}
@article{merckling2022exploratory,
title = {Exploratory State Representation Learning},
author = {Merckling, Astrid and Perrin-Gilbert, Nicolas and Coninx, Alex and Doncieux, St{\'e}phane},
journal = {Frontiers in Robotics and AI},
volume = {9},
year = {2022},
publisher = {Frontiers Media SA}
}
@article{achkan2022few,
title = {Few-shot Quality-Diversity Optimization},
author = {Salehi, Achkan and Coninx, Alexandre and Doncieux, Stephane},
journal = {IEEE Robotics and Automation Letters},
pages = {1--10},
year = {2022}
}
@misc{raffin22workshop,
author = {Bas Van der Heijden and Antonin Raffin and Jens Kober},
title = {Tools for Robotic Reinforcement Learning},
howpublished = {Workshop held in conjunction with the International Conference on Robotics and Automation (ICRA)},
year = {2022}
}
@article{stulp22innovation,
author = {Freek Stulp and Michael Spranger and Kim Listman and Stéphane Doncieux and Moritz Tenorth and George Konidaris and Pieter Abbeel},
title = {Innovation Paths for Machine Learning in Robotics},
publisher = {IEEE - Institute of Electrical and Electronics Engineers},
pages = {141--144},
journal = {IEEE Robotics \& Automation Magazine},
year = {2022},
volume = {29},
number = {4}
}
@inproceedings{padalkar2023reinforcement,
author = {Abhishek Padalkar and Gabriel Quere and Franz Steinmetz and Antonin Raffin and Matthias Nieuwenhuisen and Joao Silverio and Freek Stulp},
title = {Reinforcement Learning Guided by Shared Control Templates},
booktitle = {International Conference on Robotics and Automation (ICRA)},
year = {2023}
}
@misc{raffin2022learning,
author = {Raffin, Antonin and Seidel, Daniel and Kober, Jens and Albu-Schäffer, Alin and Silvério, João and Stulp, Freek},
doi = {10.48550/ARXIV.2209.07171},
url = {https://arxiv.org/abs/2209.07171},
title = {Learning to Exploit Elastic Actuators for Quadruped Locomotion},
publisher = {arXiv},
year = {2022},
copyright = {Creative Commons Attribution 4.0 International}
}
@misc{salehi22adaptive,
author = {Salehi, Achkan and Rühl, Steffen and Doncieux, Stephane},
title = {Adaptive Asynchronous Control Using Meta-learned Neural Ordinary Differential Equations},
publisher = {arXiv},
year = {2022},
note = {\url{https://arxiv.org/abs/2207.12062}}
}
@misc{ruehl23transferring,
author = {Steffen R\"uhl and Moritz Tenorth and Achkan Salehi and Stéphane Doncieux},
title = {Transferring {AI} research results into an industrial product},
year = {2023},
note = {\url{https://insights.magazino.eu/en/whitepaper/ai-research}}
}
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