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

Model Imitation for Model-Based Reinforcement Learning

Model-based reinforcement learning (MBRL) aims to learn a dynamic model to reduce the number of interactions with real-world environments.

Data and Resources

Cite this as

Yueh-Hua Wu, Ting-Han Fan, Peter J. Ramadge, Hao Su (2024). Dataset: Model Imitation for Model-Based Reinforcement Learning. https://doi.org/10.57702/exed8x23

DOI retrieved: December 2, 2024

Additional Info

Field Value
Created December 2, 2024
Last update December 2, 2024
Defined In https://doi.org/10.48550/arXiv.1909.11821
Author Yueh-Hua Wu
More Authors
Ting-Han Fan
Peter J. Ramadge
Hao Su