{"OA_place":"publisher","arxiv":1,"language":[{"iso":"eng"}],"status":"public","date_updated":"2025-06-02T07:35:06Z","volume":15697,"acknowledgement":"This research was partially supported by the ERC CoG 863818 (ForM-SMArt) grant and Austrian Science Fund (FWF) 10.55776/COE12 grant.","conference":{"location":"Hamilton, ON, Canada","start_date":"2025-05-03","name":"TACAS: Tools and Algorithms for the Construction and Analysis of Systems","end_date":"2025-05-08"},"quality_controlled":"1","abstract":[{"lang":"eng","text":"Two standard models for probabilistic systems are Markov chains (MCs) and Markov decision processes (MDPs). Classic objectives for such probabilistic models for control and planning problems are reachability and stochastic shortest path. The widely studied algorithmic approach for these problems is the Value Iteration (VI) algorithm which iteratively applies local updates called Bellman updates. There are many practical approaches for VI in the literature but they all require exponentially many Bellman updates for MCs in the worst case. A preprocessing step is an algorithm that is discrete, graph-theoretical, and requires linear space. An important open question is whether, after a polynomial-time preprocessing, VI can be achieved with sub-exponentially many Bellman updates. In this work, we present a new approach for VI based on guessing values. Our theoretical contributions are twofold. First, for MCs, we present an almost-linear-time preprocessing algorithm after which, along with guessing values, VI requires only subexponentially many Bellman updates. Second, we present an improved analysis of the speed of convergence of VI for MDPs. Finally, we present a practical algorithm for MDPs based on our new approach. Experimental results show that our approach provides a considerable improvement over existing VI-based approaches on several benchmark examples from the literature."}],"oa":1,"author":[{"full_name":"Chatterjee, Krishnendu","id":"2E5DCA20-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0002-4561-241X","first_name":"Krishnendu","last_name":"Chatterjee"},{"first_name":"Mahdi","last_name":"Jafariraviz","full_name":"Jafariraviz, Mahdi"},{"id":"BD1DF4C4-D767-11E9-B658-BC13E6697425","full_name":"Saona Urmeneta, Raimundo J","orcid":"0000-0001-5103-038X","first_name":"Raimundo J","last_name":"Saona Urmeneta"},{"last_name":"Svoboda","first_name":"Jakub","orcid":"0000-0002-1419-3267","full_name":"Svoboda, Jakub","id":"130759D2-D7DD-11E9-87D2-DE0DE6697425"}],"oa_version":"Published Version","type":"conference","alternative_title":["LNCS"],"ec_funded":1,"has_accepted_license":"1","tmp":{"name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","image":"/images/cc_by.png","short":"CC BY (4.0)"},"page":"217-236","project":[{"call_identifier":"H2020","name":"Formal Methods for Stochastic Models: Algorithms and Applications","_id":"0599E47C-7A3F-11EA-A408-12923DDC885E","grant_number":"863818"}],"department":[{"_id":"KrCh"}],"_id":"19740","publication_status":"published","ddc":["000"],"corr_author":"1","publication":"31st International Conference on Tools and Algorithms for the Construction and Analysis of Systems","date_published":"2025-05-01T00:00:00Z","title":"Value iteration with guessing for Markov chains and Markov decision processes","publication_identifier":{"issn":["0302-9743"],"isbn":["9783031906527"],"eissn":["1611-3349"]},"publisher":"Springer Nature","file_date_updated":"2025-06-02T07:31:12Z","citation":{"ieee":"K. Chatterjee, M. Jafariraviz, R. J. Saona Urmeneta, and J. Svoboda, “Value iteration with guessing for Markov chains and Markov decision processes,” in 31st International Conference on Tools and Algorithms for the Construction and Analysis of Systems, Hamilton, ON, Canada, 2025, vol. 15697, pp. 217–236.","ista":"Chatterjee K, Jafariraviz M, Saona Urmeneta RJ, Svoboda J. 2025. Value iteration with guessing for Markov chains and Markov decision processes. 31st International Conference on Tools and Algorithms for the Construction and Analysis of Systems. TACAS: Tools and Algorithms for the Construction and Analysis of Systems, LNCS, vol. 15697, 217–236.","chicago":"Chatterjee, Krishnendu, Mahdi Jafariraviz, Raimundo J Saona Urmeneta, and Jakub Svoboda. “Value Iteration with Guessing for Markov Chains and Markov Decision Processes.” In 31st International Conference on Tools and Algorithms for the Construction and Analysis of Systems, 15697:217–36. Springer Nature, 2025. https://doi.org/10.1007/978-3-031-90653-4_11.","ama":"Chatterjee K, Jafariraviz M, Saona Urmeneta RJ, Svoboda J. Value iteration with guessing for Markov chains and Markov decision processes. In: 31st International Conference on Tools and Algorithms for the Construction and Analysis of Systems. Vol 15697. Springer Nature; 2025:217-236. doi:10.1007/978-3-031-90653-4_11","short":"K. Chatterjee, M. Jafariraviz, R.J. Saona Urmeneta, J. Svoboda, in:, 31st International Conference on Tools and Algorithms for the Construction and Analysis of Systems, Springer Nature, 2025, pp. 217–236.","apa":"Chatterjee, K., Jafariraviz, M., Saona Urmeneta, R. J., & Svoboda, J. (2025). Value iteration with guessing for Markov chains and Markov decision processes. In 31st International Conference on Tools and Algorithms for the Construction and Analysis of Systems (Vol. 15697, pp. 217–236). Hamilton, ON, Canada: Springer Nature. https://doi.org/10.1007/978-3-031-90653-4_11","mla":"Chatterjee, Krishnendu, et al. “Value Iteration with Guessing for Markov Chains and Markov Decision Processes.” 31st International Conference on Tools and Algorithms for the Construction and Analysis of Systems, vol. 15697, Springer Nature, 2025, pp. 217–36, doi:10.1007/978-3-031-90653-4_11."},"day":"01","file":[{"access_level":"open_access","creator":"dernst","relation":"main_file","file_name":"2025_TACAS_Chatterjee.pdf","file_id":"19767","date_created":"2025-06-02T07:31:12Z","success":1,"checksum":"45da6efbcbed20aada16c48c8e55e2d6","date_updated":"2025-06-02T07:31:12Z","content_type":"application/pdf","file_size":557481}],"license":"https://creativecommons.org/licenses/by/4.0/","intvolume":" 15697","scopus_import":"1","external_id":{"arxiv":["2505.06769"]},"date_created":"2025-05-25T22:17:06Z","year":"2025","OA_type":"hybrid","doi":"10.1007/978-3-031-90653-4_11","article_processing_charge":"No","month":"05","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87"}