Input-to-State Safety for Reinforcement Learning.
- DOI
- 10.1109/tnnls.2026.3688045
- Published
- 2026 Oct
- Container
- IEEE transactions on neural networks and learning systems
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1109/tnnls.2026.3688045,
title = {Input-to-State Safety for Reinforcement Learning.},
author = {Jha MS and Marthi S and Vamvoudakis KG and Kanso S and Theilliol D},
year = {2026},
journal = {IEEE transactions on neural networks and learning systems},
doi = {10.1109/tnnls.2026.3688045},
url = {https://doi.org/10.1109/tnnls.2026.3688045}
}RIS
TY - JOUR TI - Input-to-State Safety for Reinforcement Learning. AU - Jha MS AU - Marthi S AU - Vamvoudakis KG AU - Kanso S AU - Theilliol D PY - 2026 JO - IEEE transactions on neural networks and learning systems DO - 10.1109/tnnls.2026.3688045 UR - https://doi.org/10.1109/tnnls.2026.3688045 ER -
APA
MS, J., S, M., KG, V., S, K., & D, T. (2026). Input-to-State Safety for Reinforcement Learning.. IEEE transactions on neural networks and learning systems. https://doi.org/10.1109/tnnls.2026.3688045
Source records
- pubmed · retrieved 2026-11-10T11:12:27.118Z