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Conference Paper

Hierarchical Reinforcement Learning with Timed Subgoals

MPS-Authors
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Gürtler,  Nico
Max Planck Research Group Autonomous Learning, Max Planck Institute for Intelligent Systems, Max Planck Society;

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Büchler,  Dieter
Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society;

/persons/resource/persons173588

Martius,  Georg
Max Planck Research Group Autonomous Learning, Max Planck Institute for Intelligent Systems, Max Planck Society;

External Resource

https://proceedings.neurips.cc/paper_files/paper/2021/hash/b59c21a078fde074a6750e91ed19fb21-Abstract.html
(Publisher version)

https://doi.org/10.48550/arXiv.2112.03100
(Preprint)

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Citation

Gürtler, N., Büchler, D., & Martius, G. (2022). Hierarchical Reinforcement Learning with Timed Subgoals. In M. Ranzato, A. Beygelzimer, Y. Dauphin, P. S. Liang, & J. Wortman Vaughan (Eds.), Advances in Neural Information Processing Systems 34 (pp. 21732-21743). Red Hook, NY: Curran Associates, Inc. Retrieved from https://proceedings.neurips.cc/paper_files/paper/2021/hash/b59c21a078fde074a6750e91ed19fb21-Abstract.html.


Cite as: https://hdl.handle.net/21.11116/0000-000D-4246-A
Abstract
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