--- _id: '14736' abstract: - lang: eng text: Payment channel networks (PCNs) are a promising technology to improve the scalability of cryptocurrencies. PCNs, however, face the challenge that the frequent usage of certain routes may deplete channels in one direction, and hence prevent further transactions. In order to reap the full potential of PCNs, recharging and rebalancing mechanisms are required to provision channels, as well as an admission control logic to decide which transactions to reject in case capacity is insufficient. This paper presents a formal model of this optimisation problem. In particular, we consider an online algorithms perspective, where transactions arrive over time in an unpredictable manner. Our main contributions are competitive online algorithms which come with provable guarantees over time. We empirically evaluate our algorithms on randomly generated transactions to compare the average performance of our algorithms to our theoretical bounds. We also show how this model and approach differs from related problems in classic communication networks. acknowledgement: Supported by the German Federal Ministry of Education and Research (BMBF), grant 16KISK020K (6G-RIC), 2021–2025, and ERC CoG 863818 (ForM-SMArt). alternative_title: - LNCS article_processing_charge: No author: - first_name: Mahsa full_name: Bastankhah, Mahsa last_name: Bastankhah - first_name: Krishnendu full_name: Chatterjee, Krishnendu id: 2E5DCA20-F248-11E8-B48F-1D18A9856A87 last_name: Chatterjee orcid: 0000-0002-4561-241X - first_name: Mohammad Ali full_name: Maddah-Ali, Mohammad Ali last_name: Maddah-Ali - first_name: Stefan full_name: Schmid, Stefan last_name: Schmid - first_name: Jakub full_name: Svoboda, Jakub id: 130759D2-D7DD-11E9-87D2-DE0DE6697425 last_name: Svoboda orcid: 0000-0002-1419-3267 - first_name: Michelle X full_name: Yeo, Michelle X id: 2D82B818-F248-11E8-B48F-1D18A9856A87 last_name: Yeo citation: ama: 'Bastankhah M, Chatterjee K, Maddah-Ali MA, Schmid S, Svoboda J, Yeo MX. R2: Boosting liquidity in payment channel networks with online admission control. In: 27th International Conference on Financial Cryptography and Data Security. Vol 13950. Springer Nature; 2023:309-325. doi:10.1007/978-3-031-47754-6_18' apa: 'Bastankhah, M., Chatterjee, K., Maddah-Ali, M. A., Schmid, S., Svoboda, J., & Yeo, M. X. (2023). R2: Boosting liquidity in payment channel networks with online admission control. In 27th International Conference on Financial Cryptography and Data Security (Vol. 13950, pp. 309–325). Bol, Brac, Croatia: Springer Nature. https://doi.org/10.1007/978-3-031-47754-6_18' chicago: 'Bastankhah, Mahsa, Krishnendu Chatterjee, Mohammad Ali Maddah-Ali, Stefan Schmid, Jakub Svoboda, and Michelle X Yeo. “R2: Boosting Liquidity in Payment Channel Networks with Online Admission Control.” In 27th International Conference on Financial Cryptography and Data Security, 13950:309–25. Springer Nature, 2023. https://doi.org/10.1007/978-3-031-47754-6_18.' ieee: 'M. Bastankhah, K. Chatterjee, M. A. Maddah-Ali, S. Schmid, J. Svoboda, and M. X. Yeo, “R2: Boosting liquidity in payment channel networks with online admission control,” in 27th International Conference on Financial Cryptography and Data Security, Bol, Brac, Croatia, 2023, vol. 13950, pp. 309–325.' ista: 'Bastankhah M, Chatterjee K, Maddah-Ali MA, Schmid S, Svoboda J, Yeo MX. 2023. R2: Boosting liquidity in payment channel networks with online admission control. 27th International Conference on Financial Cryptography and Data Security. FC: Financial Cryptography and Data Security, LNCS, vol. 13950, 309–325.' mla: 'Bastankhah, Mahsa, et al. “R2: Boosting Liquidity in Payment Channel Networks with Online Admission Control.” 27th International Conference on Financial Cryptography and Data Security, vol. 13950, Springer Nature, 2023, pp. 309–25, doi:10.1007/978-3-031-47754-6_18.' short: M. Bastankhah, K. Chatterjee, M.A. Maddah-Ali, S. Schmid, J. Svoboda, M.X. Yeo, in:, 27th International Conference on Financial Cryptography and Data Security, Springer Nature, 2023, pp. 309–325. conference: end_date: 2023-05-05 location: Bol, Brac, Croatia name: 'FC: Financial Cryptography and Data Security' start_date: 2023-05-01 date_created: 2024-01-08T09:30:22Z date_published: 2023-12-01T00:00:00Z date_updated: 2024-01-08T09:36:36Z day: '01' department: - _id: KrCh - _id: KrPi doi: 10.1007/978-3-031-47754-6_18 ec_funded: 1 intvolume: ' 13950' language: - iso: eng month: '12' oa_version: None page: 309-325 project: - _id: 0599E47C-7A3F-11EA-A408-12923DDC885E call_identifier: H2020 grant_number: '863818' name: 'Formal Methods for Stochastic Models: Algorithms and Applications' publication: 27th International Conference on Financial Cryptography and Data Security publication_identifier: eisbn: - '9783031477546' eissn: - 1611-3349 isbn: - '9783031477539' issn: - 0302-9743 publication_status: published publisher: Springer Nature quality_controlled: '1' status: public title: 'R2: Boosting liquidity in payment channel networks with online admission control' type: conference user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 13950 year: '2023' ... --- _id: '14539' abstract: - lang: eng text: "Stochastic systems provide a formal framework for modelling and quantifying uncertainty in systems and have been widely adopted in many application domains. Formal\r\nverification and control of finite state stochastic systems, a subfield of formal methods\r\nalso known as probabilistic model checking, is well studied. In contrast, formal verification and control of infinite state stochastic systems have received comparatively\r\nless attention. However, infinite state stochastic systems commonly arise in practice.\r\nFor instance, probabilistic models that contain continuous probability distributions such\r\nas normal or uniform, or stochastic dynamical systems which are a classical model for\r\ncontrol under uncertainty, both give rise to infinite state systems.\r\nThe goal of this thesis is to contribute to laying theoretical and algorithmic foundations\r\nof fully automated formal verification and control of infinite state stochastic systems,\r\nwith a particular focus on systems that may be executed over a long or infinite time.\r\nWe consider formal verification of infinite state stochastic systems in the setting of\r\nstatic analysis of probabilistic programs and formal control in the setting of controller\r\nsynthesis in stochastic dynamical systems. For both problems, we present some of the\r\nfirst fully automated methods for probabilistic (a.k.a. quantitative) reachability and\r\nsafety analysis applicable to infinite time horizon systems. We also advance the state\r\nof the art of probability 1 (a.k.a. qualitative) reachability analysis for both problems.\r\nFinally, for formal controller synthesis in stochastic dynamical systems, we present a\r\nnovel framework for learning neural network control policies in stochastic dynamical\r\nsystems with formal guarantees on correctness with respect to quantitative reachability,\r\nsafety or reach-avoid specifications.\r\n" alternative_title: - ISTA Thesis article_processing_charge: No author: - first_name: Dorde full_name: Zikelic, Dorde id: 294AA7A6-F248-11E8-B48F-1D18A9856A87 last_name: Zikelic orcid: 0000-0002-4681-1699 citation: ama: Zikelic D. Automated verification and control of infinite state stochastic systems. 2023. doi:10.15479/14539 apa: Zikelic, D. (2023). Automated verification and control of infinite state stochastic systems. Institute of Science and Technology Austria. https://doi.org/10.15479/14539 chicago: Zikelic, Dorde. “Automated Verification and Control of Infinite State Stochastic Systems.” Institute of Science and Technology Austria, 2023. https://doi.org/10.15479/14539. ieee: D. Zikelic, “Automated verification and control of infinite state stochastic systems,” Institute of Science and Technology Austria, 2023. ista: Zikelic D. 2023. Automated verification and control of infinite state stochastic systems. Institute of Science and Technology Austria. mla: Zikelic, Dorde. Automated Verification and Control of Infinite State Stochastic Systems. Institute of Science and Technology Austria, 2023, doi:10.15479/14539. short: D. Zikelic, Automated Verification and Control of Infinite State Stochastic Systems, Institute of Science and Technology Austria, 2023. date_created: 2023-11-15T13:39:10Z date_published: 2023-11-15T00:00:00Z date_updated: 2024-01-16T11:58:15Z day: '15' ddc: - '000' degree_awarded: PhD department: - _id: KrCh - _id: GradSch doi: 10.15479/14539 ec_funded: 1 file: - access_level: open_access checksum: f23e002b0059ca78e1fbb864da52dd7e content_type: application/pdf creator: cchlebak date_created: 2023-11-15T13:43:28Z date_updated: 2023-11-15T13:43:28Z file_id: '14540' file_name: main.pdf file_size: 2116426 relation: main_file success: 1 - access_level: closed checksum: 80ca37618a3c7b59866875f8be9b15ed content_type: application/x-zip-compressed creator: cchlebak date_created: 2023-11-15T13:44:24Z date_updated: 2023-11-15T13:44:24Z file_id: '14541' file_name: thesis_source.zip file_size: 35884057 relation: source_file file_date_updated: 2023-11-15T13:44:24Z language: - iso: eng license: https://creativecommons.org/licenses/by-nc-sa/4.0/ month: '11' oa: 1 oa_version: Published Version page: '256' project: - _id: 0599E47C-7A3F-11EA-A408-12923DDC885E call_identifier: H2020 grant_number: '863818' name: 'Formal Methods for Stochastic Models: Algorithms and Applications' - _id: 2564DBCA-B435-11E9-9278-68D0E5697425 call_identifier: H2020 grant_number: '665385' name: International IST Doctoral Program publication_identifier: isbn: - 978-3-99078-036-7 issn: - 2663 - 337X publication_status: published publisher: Institute of Science and Technology Austria related_material: record: - id: '1194' relation: part_of_dissertation status: public - id: '12000' relation: part_of_dissertation status: public - id: '9644' relation: part_of_dissertation status: public - id: '12511' relation: part_of_dissertation status: public - id: '14600' relation: part_of_dissertation status: public - id: '14601' relation: part_of_dissertation status: public - id: '10414' relation: part_of_dissertation status: public status: public supervisor: - first_name: Krishnendu full_name: Chatterjee, Krishnendu id: 2E5DCA20-F248-11E8-B48F-1D18A9856A87 last_name: Chatterjee orcid: 0000-0002-4561-241X title: Automated verification and control of infinite state stochastic systems tmp: image: /images/cc_by_nc_sa.png legal_code_url: https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode name: Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) short: CC BY-NC-SA (4.0) type: dissertation user_id: 8b945eb4-e2f2-11eb-945a-df72226e66a9 year: '2023' ... --- _id: '14778' abstract: - lang: eng text: 'We consider the almost-sure (a.s.) termination problem for probabilistic programs, which are a stochastic extension of classical imperative programs. Lexicographic ranking functions provide a sound and practical approach for termination of non-probabilistic programs, and their extension to probabilistic programs is achieved via lexicographic ranking supermartingales (LexRSMs). However, LexRSMs introduced in the previous work have a limitation that impedes their automation: all of their components have to be non-negative in all reachable states. This might result in a LexRSM not existing even for simple terminating programs. Our contributions are twofold. First, we introduce a generalization of LexRSMs that allows for some components to be negative. This standard feature of non-probabilistic termination proofs was hitherto not known to be sound in the probabilistic setting, as the soundness proof requires a careful analysis of the underlying stochastic process. Second, we present polynomial-time algorithms using our generalized LexRSMs for proving a.s. termination in broad classes of linear-arithmetic programs.' acknowledgement: This research was partially supported by the ERC CoG (grant no. 863818; ForM-SMArt), the Czech Science Foundation (grant no. GA21-24711S), and the European Union’s Horizon 2020 research and innovation program under the Marie Skłodowska-Curie Grant Agreement No. 665385. article_number: '11' article_processing_charge: Yes (via OA deal) article_type: original author: - first_name: Krishnendu full_name: Chatterjee, Krishnendu id: 2E5DCA20-F248-11E8-B48F-1D18A9856A87 last_name: Chatterjee orcid: 0000-0002-4561-241X - first_name: Ehsan full_name: Kafshdar Goharshady, Ehsan last_name: Kafshdar Goharshady - first_name: Petr full_name: Novotný, Petr id: 3CC3B868-F248-11E8-B48F-1D18A9856A87 last_name: Novotný - first_name: Jiří full_name: Zárevúcky, Jiří last_name: Zárevúcky - first_name: Dorde full_name: Zikelic, Dorde id: 294AA7A6-F248-11E8-B48F-1D18A9856A87 last_name: Zikelic orcid: 0000-0002-4681-1699 citation: ama: Chatterjee K, Kafshdar Goharshady E, Novotný P, Zárevúcky J, Zikelic D. On lexicographic proof rules for probabilistic termination. Formal Aspects of Computing. 2023;35(2). doi:10.1145/3585391 apa: Chatterjee, K., Kafshdar Goharshady, E., Novotný, P., Zárevúcky, J., & Zikelic, D. (2023). On lexicographic proof rules for probabilistic termination. Formal Aspects of Computing. Association for Computing Machinery. https://doi.org/10.1145/3585391 chicago: Chatterjee, Krishnendu, Ehsan Kafshdar Goharshady, Petr Novotný, Jiří Zárevúcky, and Dorde Zikelic. “On Lexicographic Proof Rules for Probabilistic Termination.” Formal Aspects of Computing. Association for Computing Machinery, 2023. https://doi.org/10.1145/3585391. ieee: K. Chatterjee, E. Kafshdar Goharshady, P. Novotný, J. Zárevúcky, and D. Zikelic, “On lexicographic proof rules for probabilistic termination,” Formal Aspects of Computing, vol. 35, no. 2. Association for Computing Machinery, 2023. ista: Chatterjee K, Kafshdar Goharshady E, Novotný P, Zárevúcky J, Zikelic D. 2023. On lexicographic proof rules for probabilistic termination. Formal Aspects of Computing. 35(2), 11. mla: Chatterjee, Krishnendu, et al. “On Lexicographic Proof Rules for Probabilistic Termination.” Formal Aspects of Computing, vol. 35, no. 2, 11, Association for Computing Machinery, 2023, doi:10.1145/3585391. short: K. Chatterjee, E. Kafshdar Goharshady, P. Novotný, J. Zárevúcky, D. Zikelic, Formal Aspects of Computing 35 (2023). date_created: 2024-01-10T09:27:43Z date_published: 2023-06-23T00:00:00Z date_updated: 2024-01-17T08:19:41Z day: '23' ddc: - '000' department: - _id: KrCh doi: 10.1145/3585391 ec_funded: 1 external_id: arxiv: - '2108.02188' file: - access_level: open_access checksum: 3bb133eeb27ec01649a9a36445d952d9 content_type: application/pdf creator: dernst date_created: 2024-01-16T08:11:24Z date_updated: 2024-01-16T08:11:24Z file_id: '14804' file_name: 2023_FormalAspectsComputing_Chatterjee.pdf file_size: 502522 relation: main_file success: 1 file_date_updated: 2024-01-16T08:11:24Z has_accepted_license: '1' intvolume: ' 35' issue: '2' keyword: - Theoretical Computer Science - Software language: - iso: eng month: '06' oa: 1 oa_version: Published Version project: - _id: 0599E47C-7A3F-11EA-A408-12923DDC885E call_identifier: H2020 grant_number: '863818' name: 'Formal Methods for Stochastic Models: Algorithms and Applications' - _id: 2564DBCA-B435-11E9-9278-68D0E5697425 call_identifier: H2020 grant_number: '665385' name: International IST Doctoral Program publication: Formal Aspects of Computing publication_identifier: eissn: - 1433-299X issn: - 0934-5043 publication_status: published publisher: Association for Computing Machinery quality_controlled: '1' related_material: record: - id: '10414' relation: earlier_version status: public status: public title: On lexicographic proof rules for probabilistic termination tmp: image: /images/cc_by.png legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0) short: CC BY (4.0) type: journal_article user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 35 year: '2023' ... --- _id: '14456' abstract: - lang: eng text: In this paper, we present novel algorithms that efficiently compute a shortest reconfiguration sequence between two given dominating sets in trees and interval graphs under the TOKEN SLIDING model. In this problem, a graph is provided along with its two dominating sets, which can be imagined as tokens placed on vertices. The objective is to find a shortest sequence of dominating sets that transforms one set into the other, with each set in the sequence resulting from sliding a single token in the previous set. While identifying any sequence has been well studied, our work presents the first polynomial algorithms for this optimization variant in the context of dominating sets. alternative_title: - LNCS article_processing_charge: No author: - first_name: Jan Matyáš full_name: Křišťan, Jan Matyáš last_name: Křišťan - first_name: Jakub full_name: Svoboda, Jakub id: 130759D2-D7DD-11E9-87D2-DE0DE6697425 last_name: Svoboda orcid: 0000-0002-1419-3267 citation: ama: 'Křišťan JM, Svoboda J. Shortest dominating set reconfiguration under token sliding. In: 24th International Symposium on Fundamentals of Computation Theory. Vol 14292. Springer Nature; 2023:333-347. doi:10.1007/978-3-031-43587-4_24' apa: 'Křišťan, J. M., & Svoboda, J. (2023). Shortest dominating set reconfiguration under token sliding. In 24th International Symposium on Fundamentals of Computation Theory (Vol. 14292, pp. 333–347). Trier, Germany: Springer Nature. https://doi.org/10.1007/978-3-031-43587-4_24' chicago: Křišťan, Jan Matyáš, and Jakub Svoboda. “Shortest Dominating Set Reconfiguration under Token Sliding.” In 24th International Symposium on Fundamentals of Computation Theory, 14292:333–47. Springer Nature, 2023. https://doi.org/10.1007/978-3-031-43587-4_24. ieee: J. M. Křišťan and J. Svoboda, “Shortest dominating set reconfiguration under token sliding,” in 24th International Symposium on Fundamentals of Computation Theory, Trier, Germany, 2023, vol. 14292, pp. 333–347. ista: 'Křišťan JM, Svoboda J. 2023. Shortest dominating set reconfiguration under token sliding. 24th International Symposium on Fundamentals of Computation Theory. FCT: Fundamentals of Computation Theory, LNCS, vol. 14292, 333–347.' mla: Křišťan, Jan Matyáš, and Jakub Svoboda. “Shortest Dominating Set Reconfiguration under Token Sliding.” 24th International Symposium on Fundamentals of Computation Theory, vol. 14292, Springer Nature, 2023, pp. 333–47, doi:10.1007/978-3-031-43587-4_24. short: J.M. Křišťan, J. Svoboda, in:, 24th International Symposium on Fundamentals of Computation Theory, Springer Nature, 2023, pp. 333–347. conference: end_date: 2023-09-21 location: Trier, Germany name: 'FCT: Fundamentals of Computation Theory' start_date: 2023-09-18 date_created: 2023-10-29T23:01:16Z date_published: 2023-09-21T00:00:00Z date_updated: 2024-01-22T08:10:49Z day: '21' department: - _id: KrCh doi: 10.1007/978-3-031-43587-4_24 external_id: arxiv: - '2307.10847' intvolume: ' 14292' language: - iso: eng main_file_link: - open_access: '1' url: https://doi.org/10.48550/arXiv.2307.10847 month: '09' oa: 1 oa_version: Preprint page: 333-347 publication: 24th International Symposium on Fundamentals of Computation Theory publication_identifier: eissn: - 1611-3349 isbn: - '9783031435867' issn: - 0302-9743 publication_status: published publisher: Springer Nature quality_controlled: '1' related_material: link: - relation: erratum url: https://doi.org/10.1007/978-3-031-43587-4_31 scopus_import: '1' status: public title: Shortest dominating set reconfiguration under token sliding type: conference user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 14292 year: '2023' ... --- _id: '14830' abstract: - lang: eng text: We study the problem of learning controllers for discrete-time non-linear stochastic dynamical systems with formal reach-avoid guarantees. This work presents the first method for providing formal reach-avoid guarantees, which combine and generalize stability and safety guarantees, with a tolerable probability threshold p in [0,1] over the infinite time horizon. Our method leverages advances in machine learning literature and it represents formal certificates as neural networks. In particular, we learn a certificate in the form of a reach-avoid supermartingale (RASM), a novel notion that we introduce in this work. Our RASMs provide reachability and avoidance guarantees by imposing constraints on what can be viewed as a stochastic extension of level sets of Lyapunov functions for deterministic systems. Our approach solves several important problems -- it can be used to learn a control policy from scratch, to verify a reach-avoid specification for a fixed control policy, or to fine-tune a pre-trained policy if it does not satisfy the reach-avoid specification. We validate our approach on 3 stochastic non-linear reinforcement learning tasks. acknowledgement: This work was supported in part by the ERC-2020-AdG 101020093, ERC CoG 863818 (FoRM-SMArt) and the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie Grant Agreement No. 665385. article_processing_charge: No author: - first_name: Dorde full_name: Zikelic, Dorde id: 294AA7A6-F248-11E8-B48F-1D18A9856A87 last_name: Zikelic orcid: 0000-0002-4681-1699 - first_name: Mathias full_name: Lechner, Mathias id: 3DC22916-F248-11E8-B48F-1D18A9856A87 last_name: Lechner - first_name: Thomas A full_name: Henzinger, Thomas A id: 40876CD8-F248-11E8-B48F-1D18A9856A87 last_name: Henzinger orcid: 0000-0002-2985-7724 - first_name: Krishnendu full_name: Chatterjee, Krishnendu id: 2E5DCA20-F248-11E8-B48F-1D18A9856A87 last_name: Chatterjee orcid: 0000-0002-4561-241X citation: ama: 'Zikelic D, Lechner M, Henzinger TA, Chatterjee K. Learning control policies for stochastic systems with reach-avoid guarantees. In: Proceedings of the 37th AAAI Conference on Artificial Intelligence. Vol 37. Association for the Advancement of Artificial Intelligence; 2023:11926-11935. doi:10.1609/aaai.v37i10.26407' apa: 'Zikelic, D., Lechner, M., Henzinger, T. A., & Chatterjee, K. (2023). Learning control policies for stochastic systems with reach-avoid guarantees. In Proceedings of the 37th AAAI Conference on Artificial Intelligence (Vol. 37, pp. 11926–11935). Washington, DC, United States: Association for the Advancement of Artificial Intelligence. https://doi.org/10.1609/aaai.v37i10.26407' chicago: Zikelic, Dorde, Mathias Lechner, Thomas A Henzinger, and Krishnendu Chatterjee. “Learning Control Policies for Stochastic Systems with Reach-Avoid Guarantees.” In Proceedings of the 37th AAAI Conference on Artificial Intelligence, 37:11926–35. Association for the Advancement of Artificial Intelligence, 2023. https://doi.org/10.1609/aaai.v37i10.26407. ieee: D. Zikelic, M. Lechner, T. A. Henzinger, and K. Chatterjee, “Learning control policies for stochastic systems with reach-avoid guarantees,” in Proceedings of the 37th AAAI Conference on Artificial Intelligence, Washington, DC, United States, 2023, vol. 37, no. 10, pp. 11926–11935. ista: 'Zikelic D, Lechner M, Henzinger TA, Chatterjee K. 2023. Learning control policies for stochastic systems with reach-avoid guarantees. Proceedings of the 37th AAAI Conference on Artificial Intelligence. AAAI: Conference on Artificial Intelligence vol. 37, 11926–11935.' mla: Zikelic, Dorde, et al. “Learning Control Policies for Stochastic Systems with Reach-Avoid Guarantees.” Proceedings of the 37th AAAI Conference on Artificial Intelligence, vol. 37, no. 10, Association for the Advancement of Artificial Intelligence, 2023, pp. 11926–35, doi:10.1609/aaai.v37i10.26407. short: D. Zikelic, M. Lechner, T.A. Henzinger, K. Chatterjee, in:, Proceedings of the 37th AAAI Conference on Artificial Intelligence, Association for the Advancement of Artificial Intelligence, 2023, pp. 11926–11935. conference: end_date: 2023-02-14 location: Washington, DC, United States name: 'AAAI: Conference on Artificial Intelligence' start_date: 2023-02-07 date_created: 2024-01-18T07:44:31Z date_published: 2023-06-26T00:00:00Z date_updated: 2024-01-22T14:08:29Z day: '26' department: - _id: ToHe - _id: KrCh doi: 10.1609/aaai.v37i10.26407 ec_funded: 1 external_id: arxiv: - '2210.05308' intvolume: ' 37' issue: '10' keyword: - General Medicine language: - iso: eng month: '06' oa_version: Preprint page: 11926-11935 project: - _id: 62781420-2b32-11ec-9570-8d9b63373d4d call_identifier: H2020 grant_number: '101020093' name: Vigilant Algorithmic Monitoring of Software - _id: 0599E47C-7A3F-11EA-A408-12923DDC885E call_identifier: H2020 grant_number: '863818' name: 'Formal Methods for Stochastic Models: Algorithms and Applications' - _id: 2564DBCA-B435-11E9-9278-68D0E5697425 call_identifier: H2020 grant_number: '665385' name: International IST Doctoral Program publication: Proceedings of the 37th AAAI Conference on Artificial Intelligence publication_identifier: eissn: - 2374-3468 issn: - 2159-5399 publication_status: published publisher: Association for the Advancement of Artificial Intelligence quality_controlled: '1' related_material: record: - id: '14600' relation: earlier_version status: public status: public title: Learning control policies for stochastic systems with reach-avoid guarantees type: conference user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 37 year: '2023' ...