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ORCIDMaximilian Weininger
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2020 – today
- 2024
[j5]Krishnendu Chatterjee
, Joost-Pieter Katoen, Stefanie Mohr, Maximilian Weininger, Tobias Winkler:
Stochastic games with lexicographic objectives. Formal Methods Syst. Des. 63(1): 40-80 (2024)- [c21]Tobias Meggendorfer, Maximilian Weininger:
Playing Games with Your PET: Extending the Partial Exploration Tool to Stochastic Games. CAV (3) 2024: 359-372 - [i21]Tobias Meggendorfer, Maximilian Weininger, Patrick Wienhöft:
What Are the Odds? Improving the foundations of Statistical Model Checking. CoRR abs/2404.05424 (2024) - [i20]Tobias Meggendorfer, Maximilian Weininger:
Playing Games with your PET: Extending the Partial Exploration Tool to Stochastic Games. CoRR abs/2405.03885 (2024) - [i19]Roman Andriushchenko, Alexander Bork, Carlos E. Budde, Milan Ceska, Kush Grover, Ernst Moritz Hahn, Arnd Hartmanns, Bryant Israelsen, Nils Jansen, Joshua Jeppson, Sebastian Junges, Maximilian A. Köhl, Bettina Könighofer, Jan Kretínský, Tobias Meggendorfer, David Parker, Stefan Pranger, Tim Quatmann, Enno Ruijters, Landon Taylor, Matthias Volk, Maximilian Weininger, Zhen Zhang:
Tools at the Frontiers of Quantitative Verification. CoRR abs/2405.13583 (2024) - 2023
- [j4]Florian Jüngermann, Jan Kretínský, Maximilian Weininger:
Algebraically explainable controllers: decision trees and support vector machines join forces. Int. J. Softw. Tools Technol. Transf. 25(3): 249-266 (2023) - [c20]Jan Kretínský, Tobias Meggendorfer, Maximilian Weininger:
Stopping Criteria for Value Iteration on Stochastic Games with Quantitative Objectives. LICS 2023: 1-14 - [c19]Arnd Hartmanns, Sebastian Junges, Tim Quatmann, Maximilian Weininger:
A Practitioner's Guide to MDP Model Checking Algorithms. TACAS (1) 2023: 469-488 - [i18]Arnd Hartmanns, Sebastian Junges, Tim Quatmann, Maximilian Weininger:
A Practitioner's Guide to MDP Model Checking Algorithms. CoRR abs/2301.10197 (2023) - [i17]Jan Kretínský, Tobias Meggendorfer, Maximilian Weininger:
Stopping Criteria for Value Iteration on Stochastic Games with Quantitative Objectives. CoRR abs/2304.09930 (2023) - 2022
- [b1]Maximilian Weininger:
Solving Stochastic Games Reliably. Technical University of Munich, Germany, 2022 - [j3]Jan Kretínský, Tobias Meggendorfer, Clara Waldmann, Maximilian Weininger:
Index appearance record with preorders. Acta Informatica 59(5): 585-618 (2022) - [j2]Julia Eisentraut, Edon Kelmendi, Jan Kretínský, Maximilian Weininger:
Value iteration for simple stochastic games: Stopping criterion and learning algorithm. Inf. Comput. 285(Part): 104886 (2022) - [j1]Jan Kretínský, Emanuel Ramneantu, Alexander Slivinskiy, Maximilian Weininger:
Comparison of algorithms for simple stochastic games. Inf. Comput. 289(Part): 104885 (2022) - [c18]Muqsit Azeem, Alexandros Evangelidis, Jan Kretínský, Alexander Slivinskiy, Maximilian Weininger:
Optimistic and Topological Value Iteration for Simple Stochastic Games. ATVA 2022: 285-302 - [c17]Kush Grover, Jan Kretínský, Tobias Meggendorfer, Maximilian Weininger:
Anytime Guarantees for Reachability in Uncountable Markov Decision Processes. CONCUR 2022: 11:1-11:20 - [i16]Jan Kretínský, Tobias Meggendorfer, Maximilian Weininger:
Satisfiability Bounds for ω-Regular Properties in Bounded-Parameter Markov Decision Processes. CoRR abs/2207.13660 (2022) - [i15]Muqsit Azeem, Alexandros Evangelidis, Jan Kretínský, Alexander Slivinskiy, Maximilian Weininger:
Optimistic and Topological Value Iteration for Simple Stochastic Games. CoRR abs/2207.14417 (2022) - [i14]Florian Jüngermann, Jan Kretínský, Maximilian Weininger:
Algebraically Explainable Controllers: Decision Trees and Support Vector Machines Join Forces. CoRR abs/2208.12804 (2022) - 2021
- [c16]Maximilian Weininger, Kush Grover, Shruti Misra, Jan Kretínský:
Guaranteed Trade-Offs in Dynamic Information Flow Tracking Games. CDC 2021: 3786-3793 - [c15]Javier Esparza, Stefan Kiefer, Jan Kretínský, Maximilian Weininger:
Enforcing ω-Regular Properties in Markov Chains by Restarting. CONCUR 2021: 5:1-5:22 - [c14]Pranav Ashok, Mathias Jackermeier, Jan Kretínský, Christoph Weinhuber, Maximilian Weininger, Mayank Yadav:
dtControl 2.0: Explainable Strategy Representation via Decision Tree Learning Steered by Experts. TACAS (2) 2021: 326-345 - [c13]Tobias Winkler, Maximilian Weininger:
Stochastic Games with Disjunctions of Multiple Objectives. GandALF 2021: 83-100 - [d2]Pranav Ashok, Mathias Jackermeier, Jan Kretínský, Christoph Weinhuber, Maximilian Weininger, Mayank Yadav:
dtControl 2.0: Explainable Strategy Representation via Decision Tree Learning Steered by Experts (TACAS 21 Artifact). Zenodo, 2021
- [i13]Pranav Ashok, Mathias Jackermeier, Jan Kretínský, Christoph Weinhuber, Maximilian Weininger, Mayank Yadav:
dtControl 2.0: Explainable Strategy Representation via Decision Tree Learning Steered by Experts. CoRR abs/2101.07202 (2021) - [i12]Tobias Winkler, Maximilian Weininger:
Stochastic Games with Disjunctions of Multiple Objectives (Technical Report). CoRR abs/2108.04604 (2021) - 2020
- [c12]Loris D'Antoni, Martin Helfrich, Jan Kretínský, Emanuel Ramneantu, Maximilian Weininger:
Automata Tutor v3. CAV (2) 2020: 3-14 - [c11]Krishnendu Chatterjee, Joost-Pieter Katoen, Maximilian Weininger, Tobias Winkler:
Stochastic Games with Lexicographic Reachability-Safety Objectives. CAV (2) 2020: 398-420 - [c10]Pranav Ashok, Mathias Jackermeier, Pushpak Jagtap, Jan Kretínský, Maximilian Weininger, Majid Zamani:
dtControl: decision tree learning algorithms for controller representation. HSCC 2020: 17:1-17:7 - [c9]Pranav Ashok, Mathias Jackermeier, Pushpak Jagtap, Jan Kretínský, Maximilian Weininger, Majid Zamani:
dtControl: decision tree learning algorithms for controller representation. HSCC 2020: 30:1-30:2 - [c8]Pranav Ashok, Przemyslaw Daca, Jan Kretínský, Maximilian Weininger:
Statistical Model Checking: Black or White? ISoLA (1) 2020: 331-349 - [c7]Pranav Ashok, Krishnendu Chatterjee, Jan Kretínský, Maximilian Weininger, Tobias Winkler:
Approximating Values of Generalized-Reachability Stochastic Games. LICS 2020: 102-115 - [c6]Jan Kretínský, Emanuel Ramneantu, Alexander Slivinskiy, Maximilian Weininger:
Comparison of Algorithms for Simple Stochastic Games. GandALF 2020: 131-148 - [d1]Pranav Ashok, Mathias Jackermeier, Pushpak Jagtap, Jan Kretínský, Maximilian Weininger, Majid Zamani:
dtControl: decision tree learning algorithms for controller representation (HSCC 20 Repeatability Evaluation Package). Zenodo, 2020 - [i11]Pranav Ashok, Mathias Jackermeier, Pushpak Jagtap, Jan Kretínský, Maximilian Weininger, Majid Zamani:
dtControl: Decision Tree Learning Algorithms for Controller Representation. CoRR abs/2002.04991 (2020) - [i10]Loris D'Antoni, Martin Helfrich, Jan Kretínský, Emanuel Ramneantu, Maximilian Weininger:
Automata Tutor v3. CoRR abs/2005.01419 (2020) - [i9]Krishnendu Chatterjee, Joost-Pieter Katoen, Maximilian Weininger, Tobias Winkler:
Stochastic Games with Lexicographic Reachability-Safety Objectives. CoRR abs/2005.04018 (2020) - [i8]Kush Grover, Jan Kretínský, Tobias Meggendorfer, Maximilian Weininger:
An Anytime Algorithm for Reachability on Uncountable MDP. CoRR abs/2008.04824 (2020) - [i7]Jan Kretínský, Emanuel Ramneantu, Alexander Slivinskiy, Maximilian Weininger:
Comparison of Algorithms for Simple Stochastic Games (Full Version). CoRR abs/2008.09465 (2020) - [i6]Javier Esparza, Stefan Kiefer, Jan Kretínský, Maximilian Weininger:
Online Monitoring ω-Regular Properties in Unknown Markov Chains. CoRR abs/2010.08347 (2020)
2010 – 2019
- 2019
- [c5]Pranav Ashok, Jan Kretínský, Maximilian Weininger:
PAC Statistical Model Checking for Markov Decision Processes and Stochastic Games. CAV (1) 2019: 497-519 - [c4]Maximilian Weininger, Tobias Meggendorfer, Jan Kretínský:
Satisfiability Bounds for ω-Regular Properties in Bounded-Parameter Markov Decision Processes. CDC 2019: 2284-2291 - [c3]Pranav Ashok, Jan Kretínský, Kim Guldstrand Larsen, Adrien Le Coënt, Jakob Haahr Taankvist, Maximilian Weininger:
SOS: Safe, Optimal and Small Strategies for Hybrid Markov Decision Processes. QEST 2019: 147-164 - [i5]Pranav Ashok, Jan Kretínský, Maximilian Weininger:
PAC Statistical Model Checking for Markov Decision Processes and Stochastic Games. CoRR abs/1905.04403 (2019) - [i4]Pranav Ashok, Jan Kretínský, Kim Guldstrand Larsen, Adrien Le Coënt, Jakob Haahr Taankvist, Maximilian Weininger:
SOS: Safe, Optimal and Small Strategies for Hybrid Markov Decision Processes. CoRR abs/1906.10640 (2019) - [i3]Pranav Ashok, Jan Kretínský, Maximilian Weininger:
Approximating Values of Generalized-Reachability Stochastic Games. CoRR abs/1908.05106 (2019) - 2018
- [c2]Edon Kelmendi, Julia Krämer, Jan Kretínský, Maximilian Weininger:
Value Iteration for Simple Stochastic Games: Stopping Criterion and Learning Algorithm. CAV (1) 2018: 623-642 - [i2]Edon Kelmendi, Julia Krämer, Jan Kretínský, Maximilian Weininger:
Value Iteration for Simple Stochastic Games: Stopping Criterion and Learning Algorithm. CoRR abs/1804.04901 (2018) - 2017
- [c1]Jan Kretínský, Tobias Meggendorfer, Clara Waldmann, Maximilian Weininger:
Index Appearance Record for Transforming Rabin Automata into Parity Automata. TACAS (1) 2017: 443-460 - [i1]Jan Kretínský, Tobias Meggendorfer, Clara Waldmann, Maximilian Weininger:
Index appearance record for transforming Rabin automata into parity automata. CoRR abs/1701.05738 (2017)
Coauthor Index
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