Sfoglia per Titolo
Learning and dropout in contests: an experimental approach
2020-01-01 Fallucchi, F.; Niederreiter, J.; Riccaboni, M.
Learning approximate semi-explicit hybrid MPC with an application to microgrids
2020-01-01 Masti, D.; Pippia, T.; Bemporad, A.; de Schutter, B.
Learning as Constraint Reactions
2015-01-01 Gnecco, G; Gori, M; Melacci, S; Sanguineti, M
“Learning by Experience”? La riforma del Ministero dei beni e delle attività culturali e del turismo
2017-01-01 Casini, L
Learning Convex Terminal Costs for Complexity Reduction in MPC
2021-01-01 Abdufattokhov, S.; Zanon, Mario; Bemporad, Alberto
Learning dynamics explains human behaviour in Prisoner's Dilemma on networks
2014-01-01 Cimini, G; Sanchez, A
Learning equilibria with personalized incentives in a class of nonmonotone games
2022-01-01 Fabiani, Filippo; Simonetto, Andrea; Goulart, Paul J.
Learning explicit binary warm starts for mixed-integer programming
2019-01-01 Masti, D.; Bemporad, A.
Learning for MPC with stability & safety guarantees
2022-01-01 Gros, S.; Zanon, M.
Learning from Failures or Failing to Learn? Lessons from Pharmaceutical R&D
2012-01-01 Magazzini, L; Pammolli, F; Riccaboni, M
Learning from Successes and Failures in Pharmaceutical R&D
2016-01-01 Chiou, J-Y; Magazzini, L; Pammolli, F; Riccaboni, M
Learning hybrid models with logical and continuous dynamics via multiclass linear separation
2016-01-01 Breschi, V; Piga, D; Bemporad, A
Learning nonlinear feedback controllers from data via optimal policy search and stochastic gradient descent
2020-01-01 Ferrarotti, L.; Bemporad, A.
Learning Nonlinear State-Space Models Using Deep Autoencoders
2018-01-01 Masti, Daniele; Bemporad, Alberto
Learning nonlinear state–space models using autoencoders
2021-01-01 Masti, D.; Bemporad, A.
Learning optimal switching feedback controllers from data
2020-01-01 Ferrarotti, L.; Bemporad, A.
Learning queuing networks by recurrent neural networks
2020-01-01 Garbi, G.; Incerto, E.; Tribastone, M.
Learning Queuing Networks via Linear Optimization
2021-01-01 Incerto, E.; Napolitano, A.; Tribastone, M.
Learning virtual sensors for estimating the scheduling signal of parameter-varying systems
2019-01-01 Masti, Daniele; Bernardini, D.; Bemporad, A.
Learning with Boundary Conditions
2013-01-01 Gnecco, G; Gori, M; Sanguineti, M
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