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Chris Reinke
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Intrinsically Motivated Discovery of Diverse Patterns in Self-Organizing Systems
C Reinke, M Etcheverry, PY Oudeyer
2020 International Conference on Learning Representations, 2020
21*2020
Average reward optimization with multiple discounting reinforcement learners
C Reinke, E Uchibe, K Doya
Neural Information Processing: 24th International Conference, ICONIP 2017 …, 2017
142017
Maximizing the average reward in episodic reinforcement learning tasks
C Reinke, E Uchibe, K Doya
2015 International Conference on Intelligent Informatics and Biomedical …, 2015
32015
Successor Feature Representations
C Reinke, X Alameda-Pineda
arXiv preprint arXiv:2110.15701, 2022
1*2022
Variational Meta Reinforcement Learning for Social Robotics
A Ballou, X Alameda-Pineda, C Reinke
arXiv preprint arXiv:2206.03211, 2022
12022
Successor Feature Neural Episodic Control
D Emukpere, X Alameda-Pineda, C Reinke
arXiv preprint arXiv:2111.03110, 2021
12021
The Gamma-Ensemble - Adaptive Reinforcement Learning via Modular Discounting
C Reinke
Okinawa Institute of Science and Technology (OIST), 2018
12018
Progressive growing of self-organized hierarchical representations for exploration
M Etcheverry, PY Oudeyer, C Reinke
arXiv preprint arXiv:2005.06369, 2020
2020
Time Adaptive Reinforcement Learning
C Reinke
arXiv preprint arXiv:2004.08600, 2020
2020
Adaptation of optimization algorithms to problem domains by transfer learning
C Reinke, K Doya
2017 International Conference on Intelligent Informatics and Biomedical …, 2017
2017
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Articles 1–10