Chris Reinke

According to our database, Chris Reinke authored at least 9 papers between 2017 and 2023.

Collaborative distances:

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

2023

Variational meta reinforcement learning for social robotics.

Anand Ballou, Xavier Alameda-Pineda, Chris Reinke

Appl. Intell., November, 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