Leonardo Stella

PUBLICATIONS

LEONARDO STELLA - DLC Research Group

INTERNATIONAL JOURNALS

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[J11] W. Baar, L. Stella and D. Bauso, “A general framework for collective decision-making on a networked multi-population,” under review, 2024.

[J10] A. M. Faizan-Mohamed, F. Careri, M. Attallah, L. Stella, “A novel porosity prediction framework based on reinforcement learning for process parameter optimization in additive manufacturing,” under review, 2024.
Pre-print: 10.2139/ssrn.4823786.

[J09] L. Stella, D. Bauso, F. Blanchini and P. Colaneri, “Cascading failures in the global financial system: a dynamical model,” Operations Research Letters, vol. 55, 2024.
Available: 10.1016/j.orl.2024.107122.

[J08] W. Baar, L. Stella and D. Bauso, “Evolutionary dynamics on a regular networked structured and unstructured multi-population,” International Journal of Robust and Nonlinear Control, vol. 6, pp. 2725-2730, 2023. Available: 10.1002/rnc.6987.

[J07] C. Palmer, B. Roullier, M. Aamir, F. McQuade, L. Stella, A. Anjum and U. Diala, “Digital twinning remote laboratories for online practical learning,” Production & Manufacturing Research, vol. 10, no. 1, pp. 519-545, 2022. Available: 10.1080/21693277.2022.2097140.

[J06] L. Stella, Wouter Baar and D. Bauso, “Lower network degrees promote cooperation in the prisoner’s dilemma with environmental feedback,” IEEE Control Systems Letters (L-CSS), vol. 6, pp. 2725-2730, 2022. Available: 10.1109/LCSYS.2022.3175402.

[J05] L. Stella, A. Pinel-Martínez, D. Bauso and P. Colaneri, “The role of asymptomatic individuals in the COVID-19 pandemic via complex networks,” SIAM Journal on Control and Optimization, vol. 60, no. 2, pp. S119-S144, 2022. Available: 10.1137/20M1373335.

[J04] L. Stella, D. Bauso and P. Colaneri, “Mean-field game via switched systems for collective decision-making,” IEEE Transactions on Automatic Control, vol. 67, no. 8, pp. 3863-3878, 2022. Available: 10.1109/TAC.2021.3110166.

[J03] L. Stella and D. Bauso, “The impact of irrational behaviours in the optional prisoner's dilemma with game-environment feedback,” International Journal of Robust and Nonlinear Control (IJRNC), 2021. Available: 10.1002/rnc.5935.

[J02] L. Stella and D. Bauso, “Bio-inspired evolutionary dynamics on complex networks under uncertain cross-inhibitory signals,” Automatica, vol. 100, pp. 61-66, 2019. Available: 10.1016/j.automatica.2018.11.005.

[J01] L. Stella and D. Bauso, “Bio-inspired evolutionary game dynamics in symmetric and asymmetric models,” IEEE Control Systems Letters (L-CSS), vol. 2, no. 3, pp. 405-410, 2018. Available: 10.1109/LCSYS.2018.2838445.

INTERNATIONAL CONFERENCES

[C15] T. Hawili, Z. Chu, R. Zichittella, N. Lowis and L. Stella, “Towards provably efficient self-organizing networks in multi-agent reinforcement learning,” under review, 2024.

[C14] A. Acharya, C. Baber, L. Stella and A. Howes, ``Human-machine cooperation through human-like visual search model,'' Reinforcement Learning Conference, CoCoMARL workshop, 2024.

[C13] H. Taylor and L. Stella, “Advanced minimax, reinforcement learning, and MCTS for decision making in Connect-4: a comparative and evolutionary analysis,” arxiv, 2024.

[C12] T. Zhang, H. Gupta, K. Suprabhat and L. Stella, “A multi-agent reinforcement learning approach to promote cooperation in evolutionary games on networks with environmental feedback,” Proceedings of the 62nd IEEE Conference on Decision and Control, 2023.

[C11] R. Skull, W. Kitchen, D. Phoenix, C. Mackenzie, N. Allison, R. Hunt and L. Stella, “Incorporating human behavior in VR compartmental simulation models,” ACM Symposium on Virtual Reality Software and Technology (VRST), 2021, pp. 1-3.

[C010] C. Palmer, B. Roullier, M. Aamir, L. Stella, U. Diala, A. Anjum, F. Mcquade, K. Cox and A. Calvert, “Virtual reality based digital twin system for remote laboratories and online practical learning,” Proceedings of the18th International Conference in Manufacturing Research (ICMR2021), 2021.

[C09] Y. Jadeja, M. Shafik, P. K. C. Wood and L. Stella, “An industrial robotic system with multi-degree of freedom for smart factories industrial applications,” Proceedings of the 18th International Conference in Manufacturing Research (ICMR2021), 2021.

[C08] J. Barreiro-Gomez, H. Tembine, L. Stella, D. Bauso and P. Colaneri, “Risk-aware control and games in engineering,” Proceedings of the 59th IEEE Conference on Decision and Control, 2020.

[C07] D. Marti-Mason, L. Stella and D. Bauso, “Evolutionary game dynamics for crowd behavior in emergency evacuations,” Proceedings of the 59th IEEE Conference on Decision and Control, 2020.

[C06] D. Marti-Mason, M. Kapinaj, A. Pinel-Martínez and L. Stella, “Impact of social distancing to mitigate the spread of COVID-19 in a virtual environment,” ACM Symposium on Virtual Reality Software and Technology (VRST), 2020, pp. 1-3.

[C05] L. Stella and D. Bauso, “On the nonexistence of stationary solutions in bio-inspired collective decision making via mean-field games,” Proceedings of the 56th IEEE Conference on Decision and Control, 2017, pp. 787-792.

[C04] L. Stella and D. Bauso, “Stationary and initial-terminal value problem for collective decision making via mean-field games,” Proceedings of 25th Mediterranean Conference on Control and Automation, 2017, pp. 1125-1130.

[C03] L. Stella and D. Bauso, “Evolutionary game dynamics for collective decision making in structured and unstructured environments,” Proceedings of the 20th IFAC World Congress, 2017.

[C02] L. Stella, F. Bagagiolo, D. Bauso and R. Pesenti, “Bandwagon effect in mean-field games,” Proceedings of the 52nd IEEE Conference on Decision and Control, 2013.

[C01] L. Stella, F. Bagagiolo, G. Como and D. Bauso, “Opinion dynamics and stubbornness through mean-field games,” Proceedings of the 52nd IEEE Conference on Decision and Control, 2013.

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