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Franco Ruggeri

Profile picture of Franco Ruggeri

Industry doctoral student

Details

Address
MALVINAS VÄG 10

Researcher


About me

I'm an industrial PhD student supervised by Karl Henrik Johansson at KTH and Rafia Inam at Ericsson. I'm working on eXplainable Reinforcement Learning (XRL) applied to telecommunication networks.

Publications:

[1] Ruggeri, Franco, Alessio Russo, Rafia Inam, and Karl Henrik Johansson. “Explainable Reinforcement Learning via Temporal Policy Decomposition.” arXiv, January 7, 2025. https://doi.org/10.48550/arXiv.2501.03902.

[2] F. Ruggeri, W. Emanuelsson, A. Terra, R. Inam, K. H. Johansson, "Rollout-based Shapley Values for Explainable Cooperative Multi-Agent Reinforcement Learning," in 2024 IEEE International Conference on Machine Learning for Communication and Networking (ICMLCN), Stockholm, Sweden: IEEE, May 2024.

[3] F. Ruggeri, A. Terra, R. Inam, and K. H. Johansson, “Evaluation of Intrinsic Explainable Reinforcement Learning in Remote Electrical Tilt Optimization,” inProceedings of Eighth International Congress on Information and Communication Technology, vol. 696, X.-S. Yang, R. S. Sherratt, N. Dey, and A. Joshi, Eds., in Lecture Notes in Networks and Systems, vol. 696. , Singapore: Springer Nature Singapore, 2024, pp. 835–854. doi: 10.1007/978-981-99-3236-8_67.

[4] F. Ruggeri, A. Terra, A. Hata, R. Inam, and I. Leite, “Safety-based Dynamic Task Offloading for Human-Robot Collaboration using Deep Reinforcement Learning,” in2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Kyoto, Japan: IEEE, Oct. 2022, pp. 2119–2126. doi: 10.1109/IROS47612.2022.9981366.

Profile picture of Franco Ruggeri