Franco Ruggeri
Doktorand
Forskare
Om mig
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] 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.
[2] F. Ruggeri, A. Terra, R. Inam, and K. H. Johansson, “Evaluation of Intrinsic Explainable Reinforcement Learning in Remote Electrical Tilt Optimization,” in Proceedings 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.
[3] F. Ruggeri, A. Terra, A. Hata, R. Inam, and I. Leite, “Safety-based Dynamic Task Offloading for Human-Robot Collaboration using Deep Reinforcement Learning,” in 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Kyoto, Japan: IEEE, Oct. 2022, pp. 2119–2126. doi: 10.1109/IROS47612.2022.9981366.