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Aivar Sootla
Aivar Sootla
research associate
E-mail confirmado em eng.ox.ac.uk
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Citado por
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Ano
Sauté RL: Almost surely safe reinforcement learning using state augmentation
A Sootla, AI Cowen-Rivers, T Jafferjee, Z Wang, DH Mguni, J Wang, ...
International Conference on Machine Learning, 20423-20443, 2022
832022
Optimal control formulation of pulse-based control using Koopman operator
A Sootla, A Mauroy, D Ernst
Automatica 91, 217-224, 2018
482018
Samba: Safe model-based & active reinforcement learning
AI Cowen-Rivers, D Palenicek, V Moens, MA Abdullah, A Sootla, J Wang, ...
Machine Learning 111 (1), 173-203, 2022
472022
Shaping pulses to control bistable systems: Analysis, computation and counterexamples
A Sootla, D Oyarzún, D Angeli, GB Stan
Automatica 63, 254-264, 2016
382016
Structured projection-based model reduction with application to stochastic biochemical networks
A Sootla, J Anderson
IEEE Transactions on Automatic Control 62 (11), 5554-5566, 2017
29*2017
Distributed reconstruction of nonlinear networks: An ADMM approach
W Pan, A Sootla, GB Stan
IFAC Proceedings Volumes 47 (3), 3208-3213, 2014
262014
Scalable positivity preserving model reduction using linear energy functions
A Sootla, A Rantzer
2012 IEEE 51st IEEE Conference on Decision and Control (CDC), 4285-4290, 2012
262012
Operator-theoretic characterization of eventually monotone systems
A Sootla, A Mauroy
IEEE Control Systems Letters 2 (3), 429-434, 2018
232018
On existence of solutions to structured Lyapunov inequalities
A Sootla, J Anderson
2016 American Control Conference (ACC), 7013-7018, 2016
232016
Block Factor-width-two Matrices and Their Applications to Semidefinite and Sum-of-squares Optimization
Y Zheng, A Sootla, A Papachristodoulou
arXiv preprint arXiv:1909.11076, 2019
202019
On periodic reference tracking using batch-mode reinforcement learning with application to gene regulatory network control
A Sootla, N Strelkowa, D Ernst, M Barahona, GB Stan
52nd IEEE Conference on Decision and Control, 4086-4091, 2013
202013
Enhancing Safe Exploration Using Safety State Augmentation
A Sootla, AI Cowen-Rivers, J Wang, HB Ammar
arXiv preprint arXiv:2206.02675, 2022
182022
Toggling a Genetic Switch Using Reinforcement Learning
A Sootla, N Strelkowa, D Ernst, M Barahona, GB Stan
arXiv preprint arXiv:1303.3183, 2013
182013
Distributed design for decentralized control using chordal decomposition and ADMM
Y Zheng, M Kamgarpour, A Sootla, A Papachristodoulou
IEEE Transactions on Control of Network Systems 7 (2), 614-626, 2019
172019
Block-diagonal solutions to Lyapunov inequalities and generalisations of diagonal dominance
A Sootla, Y Zheng, A Papachristodoulou
2017 IEEE 56th Annual Conference on Decision and Control (CDC), 6561-6566, 2017
172017
Geometric Properties of Isostables and Basins of Attraction of Monotone Systems
A Sootla, A Mauroy
IEEE Transactions on Automatic Control 62 (12), 6183-6194, 2017
172017
Multivariable optimization-based model reduction
A Sootla, A Rantzer, G Kotsalis
IEEE Transactions on Automatic Control 54 (10), 2477-2480, 2009
162009
Scalable analysis of linear networked systems via chordal decomposition
Y Zheng, M Kamgarpour, A Sootla, A Papachristodoulou
2018 European Control Conference (ECC), 2260-2265, 2018
152018
On the Existence of Block-Diagonal Solutions to Lyapunov and Riccati Inequalities
A Sootla, Y Zheng, A Papachristodoulou
IEEE Transactions on Automatic Control 65 (7), 3170-3175, 2019
142019
Pulse-Based Control Using Koopman Operator Under Parametric Uncertainty
A Sootla, D Ernst
IEEE Transactions on Automatic Control 63 (3), 791-796, 2018
142018
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Artigos 1–20