Multi-agent discrete-time graphical games and reinforcement learning solutions MI Abouheaf, FL Lewis, KG Vamvoudakis, S Haesaert, R Babuska Automatica 50 (12), 3038-3053, 2014 | 277 | 2014 |
Verification of general Markov decision processes by approximate similarity relations and policy refinement S Haesaert, SE Zadeh Soudjani, A Abate SIAM Journal on Control and Optimization 55 (4), 2333-2367, 2017 | 60 | 2017 |
Data-driven predictive control for linear parameter-varying systems C Verhoek, HS Abbas, R Tóth, S Haesaert IFAC-PapersOnLine 54 (8), 101-108, 2021 | 55 | 2021 |
Robust dynamic programming for temporal logic control of stochastic systems S Haesaert, S Soudjani IEEE Transactions on Automatic Control 66 (6), 2496-2511, 2020 | 53 | 2020 |
Fundamental lemma for data-driven analysis of linear parameter-varying systems C Verhoek, R Tóth, S Haesaert, A Koch 2021 60th IEEE conference on decision and control (CDC), 5040-5046, 2021 | 49 | 2021 |
Data-driven and model-based verification via Bayesian identification and reachability analysis S Haesaert, PMJ Van den Hof, A Abate Automatica 79, 115-126, 2017 | 43 | 2017 |
Where to map? iterative rover-copter path planning for mars exploration T Sasaki, K Otsu, R Thakker, S Haesaert, A Agha-mohammadi IEEE Robotics and Automation Letters 5 (2), 2123-2130, 2020 | 42 | 2020 |
Toward Specification-Guided Active Mars Exploration for Cooperative Robot Teams. P Nilsson, S Haesaert, R Thakker, K Otsu, CI Vasile, ... Robotics: Science and systems 14, 1-9, 2018 | 36 | 2018 |
Temporal logic control of pomdps via label-based stochastic simulation relations S Haesaert, P Nilsson, CI Vasile, R Thakker, A Agha-mohammadi, ... IFAC-PapersOnLine 51 (16), 271-276, 2018 | 33 | 2018 |
Convex incremental dissipativity analysis of nonlinear systems C Verhoek, PJW Koelewijn, S Haesaert, R Tóth Automatica 150, 110859, 2023 | 31 | 2023 |
Data-efficient Bayesian verification of parametric Markov chains E Polgreen, VB Wijesuriya, S Haesaert, A Abate Quantitative Evaluation of Systems: 13th International Conference, QEST 2016 …, 2016 | 28 | 2016 |
ARCH-COMP18 category report: Stochastic modelling A Abate, H Blom, N Cauchi, S Haesaert, A Hartmanns, K Lesser, M Oishi, ... 5th international workshop on applied verification of continuous and hybrid …, 2018 | 25 | 2018 |
Temporal logic control of general Markov decision processes by approximate policy refinement S Haesaert, S Soudjani, A Abate IFAC-PapersOnLine 51 (16), 73-78, 2018 | 24 | 2018 |
Certified policy synthesis for general Markov decision processes: An application in building automation systems S Haesaert, N Cauchi, A Abate Performance Evaluation 117, 75-103, 2017 | 24 | 2017 |
Automated experiment design for data-efficient verification of parametric Markov decision processes E Polgreen, VB Wijesuriya, S Haesaert, A Abate Quantitative Evaluation of Systems: 14th International Conference, QEST 2017 …, 2017 | 22 | 2017 |
Multi-agent discrete-time graphical games: interactive Nash equilibrium and value iteration solution M Abouheaf, F Lewis, S Haesaert, R Babuska, K Vamvoudakis 2013 American Control Conference, 4189-4195, 2013 | 22 | 2013 |
Data-driven property verification of grey-box systems by Bayesian experiment design S Haesaert, PMJ Van den Hof, A Abate 2015 American Control Conference (ACC), 1800-1805, 2015 | 19 | 2015 |
Data-driven and model-based verification: A bayesian identification approach S Haesaert, A Abate, PMJ Van den Hof 2015 54th IEEE Conference on Decision and Control (CDC), 6830-6835, 2015 | 18 | 2015 |
Correct-by-design output feedback of LTI systems S Haesaert, A Abate, PMJ Van den Hof 2015 54th IEEE Conference on Decision and Control (CDC), 6159-6164, 2015 | 17 | 2015 |
Deep-learning-based identification of LPV models for nonlinear systems C Verhoek, GI Beintema, S Haesaert, M Schoukens, R Tóth 2022 IEEE 61st Conference on Decision and Control (CDC), 3274-3280, 2022 | 16 | 2022 |