Pubblicazioni

Autori:

Marzari, Luca; Trotti, Francesco; Dal Santo, Francesco; Zhalehmehrabi, Amirhossein; Veronese, Celeste; Villaboni, Davide; Bianchi, Federico; Meli, Daniele; Castellini, Alberto; Farinelli, Alessandro

Titolo:

Enhancing Safety and Explainability of Reinforcement Learning Agents for Environmental Monitoring Tasks

Anno:

2025

Tipologia prodotto:

Contributo in atti di convegno

Tipologia ANVUR:

Contributo in Atti di convegno

Lingua:

Inglese

Nome rivista:

CEUR WORKSHOP PROCEEDINGS

ISSN Rivista:

1613-0073

N° Volume:

4121

Titolo del Convegno:

Proc. Ital-IA 2025: 5th National Conference on Artificial Intelligence, organized by CINI

Luogo:

Trieste

Periodo:

June 23–24

Editore:

CEUR-WS.org

Casa editrice:

CEUR-WS.org

Intervallo pagine:

1-6

Parole chiave:

Safe Reinforcement Learning, Formal Verification of Neural Networks, Explainable and Neurosymbolic AI, Safe Deployment

Breve descrizione dei contenuti:

Mitigating pollution in aquatic ecosystems is among the most pressing challenges in environmental sustainabil- ity applications. While effective monitoring and intervention activities are key to safeguarding water quality, protecting biodiversity, and supporting industries (e.g., aquaculture), this is traditionally done by human oper- ators—making the process costly, time-consuming, and often inadequate for capturing timely environmental changes. In this work, we focus on safe, explainable design and deployment of autonomous reinforcement learning (RL) agents for environmental monitoring tasks. In particular, we present our recent contributions to: i) safe RL techniques, ii) Neurosymbolic RL, iii) formal verification of deep RL policies, and iv) designing robust control strategies for safe deployment.

Pagina Web:

https://ceur-ws.org/Vol-4121/Ital-IA_2025_paper_10.pdf

Id prodotto:

150462

Handle IRIS:

11562/1187035

ultima modifica:

25 marzo 2026

Citazione bibliografica:

Marzari, Luca; Trotti, Francesco; Dal Santo, Francesco; Zhalehmehrabi, Amirhossein; Veronese, Celeste; Villaboni, Davide; Bianchi, Federico; Meli, Daniele; Castellini, Alberto; Farinelli, Alessandro, Enhancing Safety and Explainability of Reinforcement Learning Agents for Environmental Monitoring Tasks in «CEUR WORKSHOP PROCEEDINGS» vol. 4121 CEUR-WS.org  in Proc. Ital-IA 2025: 5th National Conference on Artificial Intelligence, organized by CINI , CEUR-WS.org , Atti di "Proc. Ital-IA 2025: 5th National Conference on Artificial Intelligence, organized by CINI" , Trieste , June 23–24 , 2025 , pp. 1-6

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