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Kush Grover
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2020 – today
- 2024
- [c5]Alexander Bork, Debraj Chakraborty, Kush Grover, Jan Kretínský, Stefanie Mohr:
Learning Explainable and Better Performing Representations of POMDP Strategies. TACAS (2) 2024: 299-319 - [i4]Alexander Bork, Debraj Chakraborty, Kush Grover, Jan Kretínský, Stefanie Mohr:
Learning Explainable and Better Performing Representations of POMDP Strategies. CoRR abs/2401.07656 (2024) - [i3]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
- [i2]Severin Bals, Alexandros Evangelidis, Kush Grover, Jan Kretínský, Jakob Waibel:
MULTIGAIN 2.0: MDP controller synthesis for multiple mean-payoff, LTL and steady-state constraints. CoRR abs/2305.16752 (2023) - 2022
- [c4]Kush Grover, Jan Kretínský, Tobias Meggendorfer, Maximilian Weininger:
Anytime Guarantees for Reachability in Uncountable Markov Decision Processes. CONCUR 2022: 11:1-11:20 - [c3]Jonis Kiesbye, Kush Grover, Pranav Ashok, Jan Kretínský:
Planning via model checking with decision-tree controllers. ICRA 2022: 4347-4354 - 2021
- [c2]Maximilian Weininger, Kush Grover, Shruti Misra, Jan Kretínský:
Guaranteed Trade-Offs in Dynamic Information Flow Tracking Games. CDC 2021: 3786-3793 - [c1]Kush Grover, Fernando S. Barbosa, Jana Tumova, Jan Kretínský:
Semantic Abstraction-Guided Motion Planning for scLTL Missions in Unknown Environments. Robotics: Science and Systems 2021 - 2020
- [i1]Kush Grover, Jan Kretínský, Tobias Meggendorfer, Maximilian Weininger:
An Anytime Algorithm for Reachability on Uncountable MDP. CoRR abs/2008.04824 (2020)
Coauthor Index
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last updated on 2024-08-05 21:16 CEST by the dblp team
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