Chris Reinke

According to our database, Chris Reinke authored at least 11 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Socially Pertinent Robots in Gerontological Healthcare.

Xavier Alameda-Pineda, Angus Addlesee, Daniel Hernández García, Chris Reinke, Soraya Arias, Federica Arrigoni, Alex Auternaud, Lauriane Blavette, Cigdem Beyan, Luis G. 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, Tomás Pajdla, Maribel Pino, Michal Polic, Matthieu Py, Ariel Rado, Bin Ren, Elisa Ricci, Anne-Sophie Rigaud, Paolo Rota, Marta Romeo, Nicu Sebe, Weronika Sieinska, Pinchas Tandeitnik, Francesco Tonini, Nicolas Turro, Timothée Wintz, Yanchao Yu

CoRR, 2024

2023

Variational meta reinforcement learning for social robotics.

Anand Ballou, Xavier Alameda-Pineda, Chris Reinke

Appl. Intell., November, 2023

Successor Feature Representations.

Chris Reinke, Xavier Alameda-Pineda

Trans. Mach. Learn. Res., 2023

Univariate Radial Basis Function Layers: Brain-inspired Deep Neural Layers for Low-Dimensional Inputs.

Basavasagar Patil, Xavier Alameda-Pineda, Chris Reinke

CoRR, 2023

2021

Successor Feature Neural Episodic Control.

David Emukpere, Xavier Alameda-Pineda, Chris Reinke

CoRR, 2021

Xi-Learning: Successor Feature Transfer Learning for General Reward Functions.

Chris Reinke, Xavier Alameda-Pineda

CoRR, 2021

2020

Progressive growing of self-organized hierarchical representations for exploration.

Mayalen Etcheverry, Pierre-Yves Oudeyer, Chris Reinke

CoRR, 2020

Time Adaptive Reinforcement Learning.

Chris Reinke

CoRR, 2020

Intrinsically Motivated Discovery of Diverse Patterns in Self-Organizing Systems.

Chris Reinke, Mayalen Etcheverry, Pierre-Yves Oudeyer

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Intrinsically Motivated Exploration for Automated Discovery of Patterns in Morphogenetic Systems.

Chris Reinke, Mayalen Etcheverry, Pierre-Yves Oudeyer

CoRR, 2019

2017

Average Reward Optimization with Multiple Discounting Reinforcement Learners.

Chris Reinke, Eiji Uchibe, Kenji Doya

Proceedings of the Neural Information Processing - 24th International Conference, 2017