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ORCIDIvan Gavran
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Books and Theses
- 2022
[b1]Ivan Gavran:
Planning and Specification Problems for Multi-Robot Systems, Powered by Formal Methods. Kaiserslautern University of Technology, Germany, 2022
Journal Articles
- 2020
- [j2]Ivan Gavran, Eva Darulova
, Rupak Majumdar:
Interactive synthesis of temporal specifications from examples and natural language. Proc. ACM Program. Lang. 4(OOPSLA): 201:1-201:26 (2020) - 2017
- [j1]Ivan Gavran, Rupak Majumdar, Indranil Saha:
Antlab: A Multi-Robot Task Server. ACM Trans. Embed. Comput. Syst. 16(5s): 190:1-190:19 (2017)
Conference and Workshop Papers
- 2022
- [c10]Jan Corazza, Ivan Gavran, Daniel Neider:
Reinforcement Learning with Stochastic Reward Machines. AAAI 2022: 6429-6436 - 2021
- [c9]Daniel Neider, Jean-Raphaël Gaglione, Ivan Gavran, Ufuk Topcu, Bo Wu, Zhe Xu:
Advice-Guided Reinforcement Learning in a non-Markovian Environment. AAAI 2021: 9073-9080 - [c8]Maximilian Fickert, Ivan Gavran, Ivan Fedotov, Jörg Hoffmann, Rupak Majumdar, Wheeler Ruml:
Choosing the Initial State for Online Replanning. AAAI 2021: 12311-12319 - [c7]Heiko Becker, Nathaniel Bos, Ivan Gavran, Eva Darulova, Rupak Majumdar:
Lassie: HOL4 tactics by example. CPP 2021: 212-223 - 2020
- [c6]Zhe Xu, Ivan Gavran, Yousef Ahmad, Rupak Majumdar, Daniel Neider, Ufuk Topcu, Bo Wu:
Joint Inference of Reward Machines and Policies for Reinforcement Learning. ICAPS 2020: 590-598 - [c5]Rüdiger Ehlers, Ivan Gavran, Daniel Neider:
Learning Properties in LTL ∩ ACTL from Positive Examples Only. FMCAD 2020: 104-112 - 2018
- [c4]Daniel Neider, Ivan Gavran:
Learning Linear Temporal Properties. FMCAD 2018: 1-10 - [c3]Ivan Gavran, Ortwin Mailahn, Rainer Müller, Richard Peifer, Damien Zufferey:
Tᴏᴏʟ: accessible automated reasoning for human robot collaboration. Onward! 2018: 44-56 - 2017
- [c2]Rayna Dimitrova, Ivan Gavran, Rupak Majumdar, Vinayak S. Prabhu, Sadegh Esmaeil Zadeh Soudjani:
The Robot Routing Problem for Collecting Aggregate Stochastic Rewards. CONCUR 2017: 13:1-13:17 - 2015
- [c1]Ivan Gavran, Filip Niksic, Aditya Kanade, Rupak Majumdar, Viktor Vafeiadis:
Rely/Guarantee Reasoning for Asynchronous Programs. CONCUR 2015: 483-496
Informal and Other Publications
- 2021
- [i5]Heiko Becker, Nathaniel Bos, Ivan Gavran, Eva Darulova, Rupak Majumdar:
Lassie: HOL4 Tactics by Example. CoRR abs/2101.00930 (2021) - 2019
- [i4]Zhe Xu, Ivan Gavran, Yousef Ahmad, Rupak Majumdar, Daniel Neider, Ufuk Topcu, Bo Wu:
Joint Inference of Reward Machines and Policies for Reinforcement Learning. CoRR abs/1909.05912 (2019) - 2018
- [i3]Brendon Boldt, Ivan Gavran, Eva Darulova, Rupak Majumdar:
Precise but Natural Specification for Robot Tasks. CoRR abs/1803.02238 (2018) - [i2]Daniel Neider, Ivan Gavran:
Learning Linear Temporal Properties. CoRR abs/1806.03953 (2018) - 2017
- [i1]Rayna Dimitrova, Ivan Gavran, Rupak Majumdar, Vinayak S. Prabhu, Sadegh Esmaeil Zadeh Soudjani:
The Robot Routing Problem for Collecting Aggregate Stochastic Rewards. CoRR abs/1704.05303 (2017)
Coauthor Index
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