Spremljaj
Santiago Paternain
Naslov
Navedeno
Navedeno
Leto
Constrained reinforcement learning has zero duality gap
S Paternain, L Chamon, M Calvo-Fullana, A Ribeiro
Advances in Neural Information Processing Systems 32, 2019
2202019
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
1762017
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
1612020
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
1332022
Navigation Functions for Convex Potentials in a Space with Convex Obstacles
S Paternain, DE Koditschek, A Ribeiro
IEEE Transactions on Automatic Control, 2015
1202015
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
64*2019
Decentralized online learning with kernels
A Koppel, S Paternain, C Richard, A Ribeiro
IEEE Transactions on Signal Processing 66 (12), 3240-3255, 2018
642018
Design and implementation of sensor data fusion for an autonomous quadrotor
M Tailanian, S Paternain, R Rosa, R Canetti
2014 IEEE International Instrumentation and Measurement Technology …, 2014
492014
Online Learning of Feasible Strategies in Unknown Environments
A Paternain, Santiago: Ribeiro
IEEE Transactions on Automatic Control 62 (6), 2807-2822, 2017
47*2017
Online Learning of Feasible Strategies in Unknown Environments
S Paternain, A Ribeiro
American Control Conference (ACC), 4231-4238, 2015
472015
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
372022
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 69 (7), 4275-4290, 2023
352023
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
352016
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
312020
Distributed constrained online learning
S Paternain, S Lee, MM Zavlanos, A Ribeiro
IEEE Transactions on Signal Processing 68, 3486-3499, 2020
272020
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
272019
Navigation of a quadratic potential with ellipsoidal obstacles
H Kumar, S Paternain, A Ribeiro
Automatica 146, 110643, 2022
222022
A prediction-correction method for model predictive control
S Paternain, M Morari, A Ribeiro
2018 Annual American Control Conference (ACC), 4189-4194, 2018
192018
Probabilistic constraint for safety-critical reinforcement learning
W Chen, D Subramanian, S Paternain
IEEE Transactions on Automatic Control, 2024
182024
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
182021
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