The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/21493782

Filippo Airaldi (2022): Source code for the publication: Learning safety in model-based Reinforcement Learning using MPC and Gaussian Processes. Version 1. 4TU.ResearchData. software. https://doi.org/10.4121/21493782.v1

Software

• Electrical and Electronic Engineering
• Other Engineering

Gaussian Processes, Learning-based Model Predictive Control, Safe Reinforcement Learning

GPL-3.0

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

by Filippo Airaldi

Source code for a safety-aware MPC-based RL framework via Gaussian Processes

• 2022-11-08 first online, published, posted

4TU.ResearchData

source code (.py) and results (.pkl)

• https://github.com/FilippoAiraldi/learning-safety-in-mpc-based-rl
• https://doi.org/10.48550/arXiv.2211.01860

TU Delft, Faculty of Mechanical, Maritime and Materials Engineering, Delft Center for Systems and Control