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ORCIDPranav Ashok
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2020 – today
- 2022
[c13]Jonis Kiesbye, Kush Grover
, Pranav Ashok, Jan Kretínský:
Planning via model checking with decision-tree controllers. ICRA 2022: 4347-4354- 2021
- [b1]Pranav Ashok:
A Learning Twist on Controllers: Synthesis via Partial Exploration and Concise Representations. Technical University of Munich, Germany, 2021 - [c12]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 - [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
- [i10]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) - 2020
- [c11]Pranav Ashok, Vahid Hashemi, Jan Kretínský, Stefanie Mohr:
DeepAbstract: Neural Network Abstraction for Accelerating Verification. ATVA 2020: 92-107 - [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 - [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 - [i9]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) - [i8]Pranav Ashok, Vahid Hashemi, Jan Kretínský, Stefanie Mohr:
DeepAbstract: Neural Network Abstraction for Accelerating Verification. CoRR abs/2006.13735 (2020)
2010 – 2019
- 2019
- [c6]Pranav Ashok, Jan Kretínský, Maximilian Weininger:
PAC Statistical Model Checking for Markov Decision Processes and Stochastic Games. CAV (1) 2019: 497-519 - [c5]Pranav Ashok, Tomás Brázdil, Krishnendu Chatterjee, Jan Kretínský, Christoph H. Lampert, Viktor Toman:
Strategy Representation by Decision Trees with Linear Classifiers. QEST 2019: 109-128 - [c4]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 - [i7]Pranav Ashok, Jan Kretínský, Maximilian Weininger:
PAC Statistical Model Checking for Markov Decision Processes and Stochastic Games. CoRR abs/1905.04403 (2019) - [i6]Pranav Ashok, Tomás Brázdil, Krishnendu Chatterjee, Jan Kretínský, Christoph H. Lampert, Viktor Toman:
Strategy Representation by Decision Trees with Linear Classifiers. CoRR abs/1906.08178 (2019) - [i5]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) - [i4]Pranav Ashok, Jan Kretínský, Maximilian Weininger:
Approximating Values of Generalized-Reachability Stochastic Games. CoRR abs/1908.05106 (2019) - 2018
- [c3]Pranav Ashok, Yuliya Butkova, Holger Hermanns, Jan Kretínský:
Continuous-Time Markov Decisions Based on Partial Exploration. ATVA 2018: 317-334 - [c2]Pranav Ashok, Tomás Brázdil, Jan Kretínský, Ondrej Slámecka:
Monte Carlo Tree Search for Verifying Reachability in Markov Decision Processes. ISoLA (2) 2018: 322-335 - [i3]Pranav Ashok, Yuliya Butkova, Holger Hermanns, Jan Kretínský:
Continuous-Time Markov Decisions based on Partial Exploration. CoRR abs/1807.09641 (2018) - [i2]Pranav Ashok, Tomás Brázdil, Jan Kretínský, Ondrej Slámecka:
Monte Carlo Tree Search for Verifying Reachability in Markov Decision Processes. CoRR abs/1809.03299 (2018) - 2017
- [c1]Pranav Ashok, Krishnendu Chatterjee, Przemyslaw Daca, Jan Kretínský, Tobias Meggendorfer:
Value Iteration for Long-Run Average Reward in Markov Decision Processes. CAV (1) 2017: 201-221 - [i1]Pranav Ashok, Krishnendu Chatterjee, Przemyslaw Daca, Jan Kretínský, Tobias Meggendorfer:
Value Iteration for Long-run Average Reward in Markov Decision Processes. CoRR abs/1705.02326 (2017)
Coauthor Index
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