Alessandro Giacomo Bottero

Alessandro Giacomo Bottero joined the Intelligent Autonomous Systems group in April 2021 as an external Ph.D. student in collaboration with the Bosch Center for Artificial Intelligence (BCAI). In his research, he focuses on safe exploration in reinforcement learning (RL), a key challenge to be able to apply RL solutions to real world problems.

Before joining IAS and BCAI, he worked as Software Consultant at TNG - Technology consulting, where he started working after completing a B.Sc. in physics at the University of Pavia and a M.Sc. in theoretical and mathematical physics at LMU and TU München. Please look at his complete Curriculum Vitae.

Publications

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    Bottero, A.G.; Luis, C.E.; Vinogradska, J.; Berkenkamp, F.; Peters, J. (2026). Information-Theoretic Safe Bayesian Optimization, Journal of Machine Learning Research (JMLR), 27, 145, pp.1--42.
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    Vinogradska, J.; Peters, J; Berkenkamp, F; Bottero, A. G.; Luis Goncalves, C. E. (2026). Vorrichtung Und Verfahren Zur Steuerung Eines Mittels, Patent EP000004718319A1.
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    Luis, C.E.; Bottero, A.G.; Vinogradska, J.; Berkenkamp, F.; Peters, J. (2025). Uncertainty Representations in State-Space Layers for Deep Reinforcement Learning under Partial Observability, Transactions on Machine Learning Research (TMLR).
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    Vinogradska, J.; Peters, J; Berkenkamp, F; Bottero, A. G.; Luis Goncalves, C. E. (2025). Verfahren Und System Zur Eingeschränkten Steuerung Eines Computer-Gesteuerten Systems Basierend Auf Sicheren Steuereingaben, Patent EP232001958.
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    Vinogradska, J.; Peters, J; Berkenkamp, F; Bottero, A. G.; Luis Goncalves, C. E. (2025). Vorrichtung Und Verfahren Zur Steuerung Eines Roboters, Patent EP231898420.
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    Vinogradska, J.; Peters, J; Berkenkamp, F; Bottero, A. G.; Luis Goncalves, C. E. (2025). Vorrichtung Und Verfahren Zum Trainieren Einer Steuerungsrichtlinie Zur Steuerung Eines Technischen Systems, Patent EP221841588.
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    Luis, C.E.; Bottero, A.G.; Vinogradska, J.; Berkenkamp, F.; Peters, J. (2024). Value-Distributional Model-Based Reinforcement Learning, Journal of Machine Learning Research (JMLR), 25, 298, pp.1-42.
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    Luis, C.; Bottero, A.G.; Vinogradska, J.; Berkenkamp, F.; Peters, J. (2023). Model-Based Uncertainty in Value Functions, Proceedings of the International Conference on Artificial Intelligence and Statistics (AISTATS).
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    Bottero, A.G.; Luis, C.E.; Vinogradska, J.; Berkenkamp, F.; Peters, J. (2022). Information-Theoretic Safe Exploration with Gaussian Processes, Advances in Neural Information Processing Systems (NIPS / NeurIPS).