Constrained reinforcement learning has zero duality gap S Paternain, L Chamon, M Calvo-Fullana, A Ribeiro Advances in Neural Information Processing Systems 32, 2019 | 179 | 2019 |
Prediction-correction interior-point method for time-varying convex optimization M Fazlyab, S Paternain, VM Preciado, A Ribeiro IEEE Transactions on Automatic Control 63 (7), 1973-1986, 2017 | 148 | 2017 |
Time-varying convex optimization: Time-structured algorithms and applications A Simonetto, E Dall'Anese, S Paternain, G Leus, GB Giannakis Proceedings of the IEEE 108 (11), 2032-2048, 2020 | 124 | 2020 |
Navigation Functions for Convex Potentials in a Space with Convex Obstacles S Paternain, DE Koditschek, A Ribeiro IEEE Transactions on Automatic Control, 2015 | 108 | 2015 |
Safe policies for reinforcement learning via primal-dual methods S Paternain, M Calvo-Fullana, LFO Chamon, A Ribeiro IEEE Transactions on Automatic Control 68 (3), 1321-1336, 2022 | 107 | 2022 |
Decentralized online learning with kernels A Koppel, S Paternain, C Richard, A Ribeiro IEEE Transactions on Signal Processing 66 (12), 3240-3255, 2018 | 62 | 2018 |
A Newton-based method for nonconvex optimization with fast evasion of saddle points S Paternain, A Mokhtari, A Ribeiro SIAM Journal on Optimization 29 (1), 343-368, 2019 | 59* | 2019 |
Design and implementation of sensor data fusion for an autonomous quadrotor M Tailanián, S Paternain, R Rosa, R Canetti 2014 IEEE International Instrumentation and Measurement Technology …, 2014 | 47 | 2014 |
Online Learning of Feasible Strategies in Unknown Environments A Paternain, Santiago: Ribeiro IEEE Transactions on Automatic Control 62 (6), 2807-2822, 2017 | 44* | 2017 |
Online Learning of Feasible Strategies in Unknown Environments S Paternain, A Ribeiro American Control Conference (ACC), 4231-4238, 2015 | 44 | 2015 |
Interior point method for dynamic constrained optimization in continuous time M Fazlyab, S Paternain, VM Preciado, A Ribeiro 2016 American Control Conference (ACC), 5612-5618, 2016 | 34 | 2016 |
Constrained learning with non-convex losses LFO Chamon, S Paternain, M Calvo-Fullana, A Ribeiro IEEE Transactions on Information Theory 69 (3), 1739-1760, 2022 | 26 | 2022 |
Stochastic policy gradient ascent in reproducing kernel hilbert spaces S Paternain, JA Bazerque, A Small, A Ribeiro IEEE Transactions on Automatic Control 66 (8), 3429-3444, 2020 | 25 | 2020 |
Learning safe policies via primal-dual methods S Paternain, M Calvo-Fullana, LFO Chamon, A Ribeiro 2019 IEEE 58th Conference on Decision and Control (CDC), 6491-6497, 2019 | 24 | 2019 |
Distributed constrained online learning S Paternain, S Lee, MM Zavlanos, A Ribeiro IEEE Transactions on Signal Processing 68, 3486-3499, 2020 | 23 | 2020 |
State augmented constrained reinforcement learning: Overcoming the limitations of learning with rewards M Calvo-Fullana, S Paternain, LFO Chamon, A Ribeiro IEEE Transactions on Automatic Control, 2023 | 22 | 2023 |
A prediction-correction method for model predictive control S Paternain, M Morari, A Ribeiro 2018 Annual American Control Conference (ACC), 4189-4194, 2018 | 19 | 2018 |
Navigation of a quadratic potential with ellipsoidal obstacles H Kumar, S Paternain, A Ribeiro Automatica 146, 110643, 2022 | 18 | 2022 |
Stochastic Artificial Potentials for Online Safe Navigation S Paternain, A Ribeiro | 17 | 2016 |
Source seeking in unknown environments with convex obstacles BA Angélico, LFO Chamon, S Paternain, A Ribeiro, GJ Pappas 2021 American Control Conference (ACC), 5055-5061, 2021 | 16 | 2021 |