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Alessandro Davide Ialongo

Evaluating model-based planning and planner amortization for continuous control


Oct 07, 2021
Arunkumar Byravan, Leonard Hasenclever, Piotr Trochim, Mehdi Mirza, Alessandro Davide Ialongo, Yuval Tassa, Jost Tobias Springenberg, Abbas Abdolmaleki, Nicolas Heess, Josh Merel, Martin Riedmiller

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* 9 pages main text, 30 pages with references and appendix including several ablations and additional experiments. Submitted to ICLR 2022 

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Iterative Amortized Policy Optimization


Oct 20, 2020
Joseph Marino, Alexandre Piché, Alessandro Davide Ialongo, Yisong Yue

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Overcoming Mean-Field Approximations in Recurrent Gaussian Process Models


Jun 13, 2019
Alessandro Davide Ialongo, Mark van der Wilk, James Hensman, Carl Edward Rasmussen

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* PMLR 97:2931-2940 (2019) 
* 10 pages, 4 figures, 3 tables. Published in the proceedings of the Thirty-sixth International Conference on Machine Learning (ICML), 2019 

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Non-Factorised Variational Inference in Dynamical Systems


Dec 14, 2018
Alessandro Davide Ialongo, Mark van der Wilk, James Hensman, Carl Edward Rasmussen

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* 6 pages, 1 figure, 1 table 

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Closed-form Inference and Prediction in Gaussian Process State-Space Models


Dec 10, 2018
Alessandro Davide Ialongo, Mark van der Wilk, Carl Edward Rasmussen

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* 7 pages, 6 figures 

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Quantum machine learning: a classical perspective


Feb 13, 2018
Carlo Ciliberto, Mark Herbster, Alessandro Davide Ialongo, Massimiliano Pontil, Andrea Rocchetto, Simone Severini, Leonard Wossnig

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* Proc. R. Soc. A, vol. 474, no. 2209, p. 20170551. The Royal Society, 2018 
* v3 33 pages; typos corrected and references added 

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