I was a postdoctoral researcher leading the “Learning Robot Behavior” work package of the European H2020 SPRING project (Socially Pertinent Robots in Gerontological Healthcare) where we investigated Deep Reinforcement Learning methods and their application to robotics from 2019 to 2024.
You can find more information about my projects and publications at:
Contact
- Email: chris.reinke@inria.fr
- INRIA Grenoble Rhone-Alpes
655, avenue de l’Europe
38330 Montbonnot Saint-Martin
France
Publications
2024
Reports
- titre
- Socially Pertinent Robots in Gerontological Healthcare
- auteur
- Xavier Alameda-Pineda, Angus Addlesee, Daniel Hernández García, Chris Reinke, Soraya Arias, Federica Arrigoni, Alex Auternaud, Lauriane Blavette, Cigdem Beyan, Luis Gomez Camara, Ohad Cohen, Alessandro Conti, Sébastien Dacunha, Christian Dondrup, Yoav Ellinson, Francesco Ferro, Sharon Gannot, Florian Gras, Nancie Gunson, Radu Horaud, Moreno d’Incà, Imad Kimouche, Séverin Lemaignan, Oliver Lemon, Cyril Liotard, Luca Marchionni, Mordehay Moradi, Tomas Pajdla, Maribel Pino, Michal Polic, Matthieu Py, Ariel Rado, Bin Ren, Elisa Ricci, Anne-Sophie Rigaud, Paolo Rota, Marta Romeo, Nicu Sebe, Weronika Sieińska, Pinchas Tandeitnik, Francesco Tonini, Nicolas Turro, Timothée Wintz, Yanchao Yu
- article
- Inria. 2024, pp.1-21
- Accès au bibtex
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2023
Journal articles
- titre
- Variational Meta Reinforcement Learning for Social Robotics
- auteur
- Anand Ballou, Xavier Alameda-Pineda, Chris Reinke
- article
- Applied Intelligence, 2023, 53, pp.27249-27268. ⟨10.1007/s10489-023-04691-5⟩
- Accès au bibtex
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- titre
- Successor Feature Representations
- auteur
- Chris Reinke, Xavier Alameda-Pineda
- article
- Transactions on Machine Learning Research Journal, 2023, pp.1-35
- Accès au bibtex
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Preprints, Working Papers, …
- titre
- Univariate Radial Basis Function Layers: Brain-inspired Deep Neural Layers for Low-Dimensional Inputs
- auteur
- Basavasagar Patil, Xavier Alameda-Pineda, Chris Reinke
- article
- 2023
- Accès au texte intégral et bibtex
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2021
Conference papers
- titre
- Successor Feature Neural Episodic Control
- auteur
- David Emukpere, Xavier Alameda-Pineda, Chris Reinke
- article
- NeurIPS 2021 – 35th International Conference on Neural Information Processing Systems, Dec 2021, Virtual, Canada. pp.1-12
- Accès au bibtex
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2020
Conference papers
- titre
- Progressive growing of self-organized hierarchical representations for exploration
- auteur
- Mayalen Etcheverry, Pierre-Yves Oudeyer, Chris Reinke
- article
- ICLR 2020 workshop: Beyond tabula rasa in Reinforcement Learning, Apr 2020, Addis Ababa / Virtual, Ethiopia
- Accès au texte intégral et bibtex
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- titre
- Intrinsically Motivated Discovery of Diverse Patterns in Self-Organizing Systems
- auteur
- Chris Reinke, Mayalen Etcheverry, Pierre-Yves Oudeyer
- article
- International Conference on Learning Representations (ICLR), Apr 2020, Addis Ababa, Ethiopia
- Accès au texte intégral et bibtex
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