{"day":"06","page":"23","status":"public","year":"2015","publisher":"IST Austria","file_date_updated":"2020-07-14T12:46:57Z","oa":1,"date_published":"2015-11-06T00:00:00Z","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","ddc":["000"],"department":[{"_id":"KrCh"}],"date_created":"2018-12-12T11:39:22Z","month":"11","citation":{"ieee":"K. Chatterjee, M. Chmelik, and J. Davies, A symbolic SAT-based algorithm for almost-sure reachability with small strategies in POMDPs. IST Austria, 2015.","mla":"Chatterjee, Krishnendu, et al. A Symbolic SAT-Based Algorithm for Almost-Sure Reachability with Small Strategies in POMDPs. IST Austria, 2015, doi:10.15479/AT:IST-2015-325-v2-1.","ama":"Chatterjee K, Chmelik M, Davies J. A Symbolic SAT-Based Algorithm for Almost-Sure Reachability with Small Strategies in POMDPs. IST Austria; 2015. doi:10.15479/AT:IST-2015-325-v2-1","short":"K. Chatterjee, M. Chmelik, J. Davies, A Symbolic SAT-Based Algorithm for Almost-Sure Reachability with Small Strategies in POMDPs, IST Austria, 2015.","apa":"Chatterjee, K., Chmelik, M., & Davies, J. (2015). A symbolic SAT-based algorithm for almost-sure reachability with small strategies in POMDPs. IST Austria. https://doi.org/10.15479/AT:IST-2015-325-v2-1","ista":"Chatterjee K, Chmelik M, Davies J. 2015. A symbolic SAT-based algorithm for almost-sure reachability with small strategies in POMDPs, IST Austria, 23p.","chicago":"Chatterjee, Krishnendu, Martin Chmelik, and Jessica Davies. A Symbolic SAT-Based Algorithm for Almost-Sure Reachability with Small Strategies in POMDPs. IST Austria, 2015. https://doi.org/10.15479/AT:IST-2015-325-v2-1."},"title":"A symbolic SAT-based algorithm for almost-sure reachability with small strategies in POMDPs","related_material":{"record":[{"id":"1166","status":"public","relation":"later_version"}]},"alternative_title":["IST Austria Technical Report"],"author":[{"full_name":"Chatterjee, Krishnendu","first_name":"Krishnendu","orcid":"0000-0002-4561-241X","last_name":"Chatterjee","id":"2E5DCA20-F248-11E8-B48F-1D18A9856A87"},{"full_name":"Chmelik, Martin","first_name":"Martin","last_name":"Chmelik","id":"3624234E-F248-11E8-B48F-1D18A9856A87"},{"id":"378E0060-F248-11E8-B48F-1D18A9856A87","last_name":"Davies","first_name":"Jessica","full_name":"Davies, Jessica"}],"doi":"10.15479/AT:IST-2015-325-v2-1","_id":"5443","abstract":[{"text":"POMDPs are standard models for probabilistic planning problems, where an agent interacts with an uncertain environment. We study the problem of almost-sure reachability, where given a set of target states, the question is to decide whether there is a policy to ensure that the target set is reached with probability 1 (almost-surely). While in general the problem is EXPTIME-complete, in many practical cases policies with a small amount of memory suffice. Moreover, the existing solution to the problem is explicit, which first requires to construct explicitly an exponential reduction to a belief-support MDP. In this work, we first study the existence of observation-stationary strategies, which is NP-complete, and then small-memory strategies. We present a symbolic algorithm by an efficient encoding to SAT and using a SAT solver for the problem. We report experimental results demonstrating the scalability of our symbolic (SAT-based) approach.","lang":"eng"}],"oa_version":"Published Version","publication_status":"published","type":"technical_report","has_accepted_license":"1","date_updated":"2023-02-21T16:24:05Z","language":[{"iso":"eng"}],"pubrep_id":"362","file":[{"content_type":"application/pdf","file_size":412379,"checksum":"f0fa31ad8161ed655137e94012123ef9","date_created":"2018-12-12T11:53:05Z","file_name":"IST-2015-325-v2+1_main.pdf","relation":"main_file","access_level":"open_access","date_updated":"2020-07-14T12:46:57Z","creator":"system","file_id":"5466"}],"publication_identifier":{"issn":["2664-1690"]}}