Published March 12, 2023
| Version 1
Software
Open
Code and Data for Learning Hierarchical Policies
Authors/Creators
- 1. Linköping University
- 2. RWTH Aachen University
Description
Code and data for the paper "Learning Hierarchical Policies by Iteratively Reducing the Width of Sketch Rules"
The archive h-policy-learner.zip contains code and data for learning and testing hierarchical policies
Link to GitHub repository: https://github.com/drexlerd/h-policy-learner
Notes
Additional Acknowledgements: - This work was partially supported by the Wallenberg AI, Autonomous Systems and Software Program (WASP) funded by the Knut and Alice Wallenberg Foundation. - The computations were enabled by resources provided by the Swedish National Infrastructure for Computing (SNIC), partially funded by the Swedish Research Council through grant agreement no. 2018-05973
Files
h-policy-learner.zip
Files
(80.8 MB)
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