You're currently viewing an old version of this dataset. To see the current version, click here.

HERON: Hierarchical Preference-based Reinforcement Learning

The dataset used in the paper is not explicitly described, but it is mentioned that the authors used a hierarchical reward design framework to train policies in various environments.

Data and Resources

This dataset has no data

Cite this as

Alexander Bukharin, Yixiao Li, Pengcheng He, Tuo Zhao (2024). Dataset: HERON: Hierarchical Preference-based Reinforcement Learning. https://doi.org/10.57702/sffb16ea

Private DOI This DOI is not yet resolvable.
It is available for use in manuscripts, and will be published when the Dataset is made public.

Additional Info

Field	Value
Created	December 16, 2024
Last update	December 16, 2024
Defined In	https://doi.org/10.48550/arXiv.2309.02632
Author	Alexander Bukharin
More Authors	Yixiao Li Pengcheng He Tuo Zhao
Homepage	https://github.com/abukharin3/HERON