Sfoglia per Rivista MACHINE LEARNING
Mostrati risultati da 1 a 7 di 7
Dealing with multiple experts and non-stationarity in inverse reinforcement learning: an application to real-life problems
2021-01-01 Likmeta, A.; Metelli, A. M.; Ramponi, G.; Tirinzoni, A.; Giuliani, M.; Restelli, M.
A distributed feature selection scheme with partial information sharing
2019-01-01 Brankovic, A.; Piroddi, L.
Efficient parameter learning of Bayesian network classifiers
2017-01-01 Zaidi, N. A.; Webb, G. I.; Carman, M. J.; Petitjean, F.; Buntine, W.; Hynes, M.; De Sterck, H.
Lowest probability mass neighbour algorithms: relaxing the metric constraint in distance-based neighbourhood algorithms
2019-01-01 Ting, K. M.; Zhu, Y.; Carman, M.; Zhu, Y.; Washio, T.; Zhou, Z. -H.
Policy gradient in Lipschitz Markov Decision Processes
2015-01-01 Pirotta, Matteo; Restelli, Marcello; Bascetta, Luca
Policy space identification in configurable environments
2021-01-01 Metelli, A. M.; Manneschi, G.; Restelli, M.
Smoothing policies and safe policy gradients
2022-01-01 Papini, M.; Pirotta, M.; Restelli, M.
Mostrati risultati da 1 a 7 di 7
Legenda icone
- file ad accesso aperto
- file disponibili sulla rete interna
- file disponibili agli utenti autorizzati
- file disponibili solo agli amministratori
- file sotto embargo
- nessun file disponibile