Safe Reinforcement Learning Using Probabilistic Shields N Jansen, B Könighofer, S Junges, A Serban, R Bloem CONCUR, 2020 | 164* | 2020 |
PROPhESY: A PRObabilistic ParamEter SYnthesis Tool C Dehnert, S Junges, N Jansen, F Corzilius, M Volk, H Bruintjes, ... International Conference on Computer Aided Verification, 214-231, 2015 | 153 | 2015 |
Safety-constrained reinforcement learning for MDPs S Junges, N Jansen, C Dehnert, U Topcu, JP Katoen International conference on tools and algorithms for the construction and …, 2016 | 138 | 2016 |
Parameter synthesis for Markov models: Faster than ever T Quatmann, C Dehnert, N Jansen, S Junges, JP Katoen Automated Technology for Verification and Analysis: 14th International …, 2016 | 104 | 2016 |
Conditioning in probabilistic programming F Olmedo, F Gretz, N Jansen, BL Kaminski, JP Katoen, A McIver ACM Transactions on Programming Languages and Systems (TOPLAS) 40 (1), 1-50, 2018 | 94* | 2018 |
Finite-state controllers of POMDPs via parameter synthesis S Junges, N Jansen, R Wimmer, T Quatmann, L Winterer, J Katoen, ... Conference on Uncertainty in Artificial Intelligence (UAI), 2018 | 84* | 2018 |
Neural simplex architecture DT Phan, R Grosu, N Jansen, N Paoletti, SA Smolka, SD Stoller NASA Formal Methods: 12th International Symposium, NFM 2020, Moffett Field …, 2020 | 77 | 2020 |
Accelerating parametric probabilistic verification N Jansen, F Corzilius, M Volk, R Wimmer, E Ábrahám, JP Katoen, ... International Conference on Quantitative Evaluation of Systems, 404-420, 2014 | 77 | 2014 |
Shield synthesis for reinforcement learning B Könighofer, F Lorber, N Jansen, R Bloem Leveraging Applications of Formal Methods, Verification and Validation …, 2020 | 67* | 2020 |
DTMC model checking by SCC reduction E Abrahám, N Jansen, R Wimmer, JP Katoen, B Becker International Conference on the Quantitative Evaluation of Systems, 37-46, 2010 | 66 | 2010 |
A greedy approach for the efficient repair of stochastic models S Pathak, E Ábrahám, N Jansen, A Tacchella, JP Katoen NASA Formal Methods Symposium, 295-309, 2015 | 60 | 2015 |
Convex optimization for parameter synthesis in MDPs M Cubuktepe, N Jansen, S Junges, JP Katoen, U Topcu IEEE Transactions on Automatic Control 67 (12), 6333-6348, 2021 | 58* | 2021 |
Counterexample generation for discrete-time Markov models: An introductory survey E Ábrahám, B Becker, C Dehnert, N Jansen, JP Katoen, R Wimmer Formal Methods for Executable Software Models: 14th International School on …, 2014 | 58 | 2014 |
Adversarial patch camouflage against aerial detection R Den Hollander, A Adhikari, I Tolios, M van Bekkum, A Bal, S Hendriks, ... Artificial intelligence and machine learning in defense applications II …, 2020 | 55 | 2020 |
Task-Aware Verifiable RNN-Based Policies for Partially Observable Markov Decision Processes S Carr, N Jansen, U Topcu Journal of Artificial Intelligence Research 72, 819-847, 2021 | 53* | 2021 |
Parameter Synthesis for Markov Models: Covering the Parameter Space S Junges, E Ábrahám, C Hensel, N Jansen, JP Katoen, T Quatmann, ... arXiv preprint arXiv:1903.07993, 2019 | 52 | 2019 |
High-level Counterexamples for Probabilistic Automata RWNJEAJP Katoen Logical Methods in Computer Science 11 (1), 2015 | 51 | 2015 |
Minimal critical subsystems for discrete-time Markov models R Wimmer, N Jansen, E Ábrahám, B Becker, JP Katoen International Conference on Tools and Algorithms for the Construction and …, 2012 | 50 | 2012 |
AlwaysSafe: Reinforcement learning without safety constraint violations during training TD Simão, N Jansen, MTJ Spaan AAMAS '21: Proceedings of the 20th International Conference on Autonomous …, 2021 | 48 | 2021 |
Minimal counterexamples for linear-time probabilistic verification R Wimmer, N Jansen, E Ábrahám, JP Katoen, B Becker Theoretical Computer Science 549, 61-100, 2014 | 46* | 2014 |