Supplementary Material for "Hybrid Safe Reinforcement Learning: Tackling Distribution Shift and Outliers with the Student-t's Process".
Published: 22 November 2024| Version 1 | DOI: 10.17632/hxtnfmwkyr.1
Contributors:
Xavier Hickman, , Description
Supplementary material for the pre-print paper "Hybrid Safe Reinforcement Learning: Tackling Distribution Shift and Outliers with the Student-t's Process." submitted to the Journal of Neurcomputing (November 2024).
Files
Steps to reproduce
Navigate to the .../Experiment Code/Experiment/ directory, open the README.MD file and follow the instructions.
Institutions
Lancaster University School of Computing and Communications
Categories
Reinforcement Learning, Model-Free Reinforcement Learning