Learning Opportunities in Collective Adaptive Systems

Author:

Aguzzi Gianluca,Casadei Roberto,Mariani Stefano,Viroli Mirko,Zambonelli Franco

Publisher

Springer International Publishing

Reference53 articles.

1. Aguzzi, G., Casadei, R., Viroli, M.: Addressing collective computations efficiency: towards a platform-level reinforcement learning approach. In: Casadei, R., Nitto, E.D., Gerostathopoulos, I., Pianini, D., Dusparic, I., Wood, T., Nelson, P.R., Pournaras, E., Bencomo, N., Götz, S., Krupitzer, C., Raibulet, C. (eds.) IEEE International Conference on Autonomic Computing and Self-Organizing Systems, ACSOS 2022, Virtual, CA, USA, September 19–23, 2022, pp. 11–20. IEEE, Piscataway (2022). https://doi.org/10.1109/ACSOS55765.2022.00019

2. Aguzzi, G., Casadei, R., Viroli, M.: Machine learning for aggregate computing: a research roadmap. In: 42nd IEEE International Conference on Distributed Computing Systems, ICDCS Workshops, Bologna, Italy, July 10, 2022, pp. 119–124. IEEE, Piscataway (2022). https://doi.org/10.1109/ICDCSW56584.2022.00032

3. Aguzzi, G., Casadei, R., Viroli, M.: Towards reinforcement learning-based aggregate computing. In: ter Beek, M.H., Sirjani, M. (eds.) Coordination Models and Languages—24th IFIP WG 6.1 International Conference, COORDINATION 2022, Held as Part of the 17th International Federated Conference on Distributed Computing Techniques, DisCoTec 2022, Lucca, Italy, June 13–17, 2022, Proceedings. Lecture Notes in Computer Science, vol. 13271, pp. 72–91. Springer, Berlin (2022). https://doi.org/10.1007/978-3-031-08143-9_5

4. Aguzzi, G., Viroli, M., Esterle, L.: Field-informed reinforcement learning of collective tasks with graph neural networks. In: IEEE International Conference on Autonomic Computing and Self-Organizing Systems, ACSOS 2023, CA, Toronto, September 19–23, 2022 (2023)

5. Pianini, D., Casadei, R., Viroli, M., Mariani, S., Zambonelli, F.: Time-fluid field-based coordination through programmable distributed schedulers. Log. Methods Comput. Sci. 17(4) (2021). https://doi.org/10.46298/lmcs-17(4:13)2021

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