| 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 | 79 | 2022 |
| 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 | 47 | 2022 |
| Optimal control formulation of pulse-based control using Koopman operator A Sootla, A Mauroy, D Ernst Automatica 91, 217-224, 2018 | 47 | 2018 |
| Shaping pulses to control bistable systems: Analysis, computation and counterexamples A Sootla, D Oyarzún, D Angeli, GB Stan Automatica 63, 254-264, 2016 | 38 | 2016 |
| 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 | 26 | 2014 |
| 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 | 25 | 2012 |
| Operator-theoretic characterization of eventually monotone systems A Sootla, A Mauroy IEEE Control Systems Letters 2 (3), 429-434, 2018 | 23 | 2018 |
| On existence of solutions to structured Lyapunov inequalities A Sootla, J Anderson 2016 American Control Conference (ACC), 7013-7018, 2016 | 23 | 2016 |
| 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 | 19 | 2019 |
| 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 | 19 | 2013 |
| Enhancing Safe Exploration Using Safety State Augmentation A Sootla, AI Cowen-Rivers, J Wang, HB Ammar arXiv preprint arXiv:2206.02675, 2022 | 18 | 2022 |
| Toggling a Genetic Switch Using Reinforcement Learning A Sootla, N Strelkowa, D Ernst, M Barahona, GB Stan arXiv preprint arXiv:1303.3183, 2013 | 18 | 2013 |
| 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 | 17 | 2019 |
| 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 | 17 | 2017 |
| 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 | 16 | 2017 |
| Multivariable optimization-based model reduction A Sootla, A Rantzer, G Kotsalis IEEE Transactions on Automatic Control 54 (10), 2477-2480, 2009 | 16 | 2009 |
| 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 | 15 | 2018 |
| 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 | 14 | 2019 |
| Pulse-Based Control Using Koopman Operator Under Parametric Uncertainty A Sootla, D Ernst IEEE Transactions on Automatic Control 63 (3), 791-796, 2018 | 13 | 2018 |
Antonis PapachristodoulouUniversity of Oxfordeng.ox.ac.uk의 이메일 확인됨