| Bandit learning in concave N-person games M Bravo, D Leslie, P Mertikopoulos Advances in Neural Information Processing Systems 31, 2018 | 131 | 2018 |
| An integrated behavioral model of the land-use and transport systems with network congestion and location externalities M Bravo, L Briceño, R Cominetti, CE Cortés, F Martínez Transportation Research Part B: Methodological 44 (4), 584-596, 2010 | 70 | 2010 |
| On the robustness of learning in games with stochastically perturbed payoff observations M Bravo, P Mertikopoulos Games and Economic Behavior 103, 41-66, 2017 | 46 | 2017 |
| Learning with minimal information in continuous games S Bervoets, M Bravo, M Faure Theoretical Economics 15 (4), 1471-1508, 2020 | 24 | 2020 |
| Rates of convergence for inexact Krasnosel’skii–Mann iterations in Banach spaces M Bravo, R Cominetti, M Pavez-Signé Mathematical Programming 175, 241-262, 2019 | 21 | 2019 |
| Sharp convergence rates for averaged nonexpansive maps M Bravo, R Cominetti Israel Journal of Mathematics 227 (1), 163-188, 2018 | 21 | 2018 |
| Learning and convergence to Nash in games with continuous action sets S Bervoets, M Bravo, M Faure Working paper, 2016 | 15 | 2016 |
| An adjusted payoff-based procedure for normal form games M Bravo Mathematics of Operations Research 41 (4), 1469-1483, 2016 | 12 | 2016 |
| Reinforcement learning with restrictions on the action set M Bravo, M Faure SIAM Journal on Control and Optimization 53 (1), 287-312, 2015 | 12 | 2015 |
| An adjusted payoff-based procedure for normal form games M Bravo arXiv preprint arXiv:1106.5596, 2011 | 9 | 2011 |
| Stochastic fixed-point iterations for nonexpansive maps: Convergence and error bounds M Bravo, R Cominetti SIAM Journal on Control and Optimization 62 (1), 191-219, 2024 | 4 | 2024 |
| Universal bounds for fixed point iterations via optimal transport metrics M Bravo, T Champion, R Cominetti arXiv preprint arXiv:2108.00300, 2021 | 4 | 2021 |
| Stochastic Halpern iteration in normed spaces and applications to reinforcement learning M Bravo, JP Contreras arXiv preprint arXiv:2403.12338, 2024 | | 2024 |
| Universal bounds for fixed point iterations via optimal transport metrics T Champion, M Bravo, R Cominetti | | 2021 |
| Bandit learning in concave N-player games M Bravo, DS Leslie, P Mertikopoulos | | 2018 |
| Learning and Convergence to Nash in Network Games with Continuous Action Set Preliminary Draft S Bervoets, M Bravo, M Faure | | 2016 |
| An Integrated Behavioral Model of Land Use and Transport System: a Hyper-Network Equilibrium Approach M Bravo, L Briceno, R Cominetti, CE Cortés, FJ Martinez 11th World Conference on Transport ResearchWorld Conference on Transport …, 2007 | | 2007 |
| Optimization and Control Optimisation et contrôle (Org: Luis Briceno Arias (Universidad Técnica Federico Santa Marıa) and/et Maria Soledad Aronna (Fundaçao Getulio Vargas)) M BRAVO | | |
| Working Papers/Documents de travail M Bravo, M Faure | | |
| THE HYPER-NETWORK EQUILIBRIUM APPROACH FOR THE LAND USE AND TRANSPORT INTEGRATED MODEL: THE CASE WITH EXTERNALITIES M Bravo, L Briceño, R Cominetti, CE Cortés, F Martínez | | |
Roberto CominettiUniversidad Adolfo Ibáñez (Chile)כתובת אימייל מאומתת בדומיין uai.cl
