{"type":"conference","citation":{"apa":"Brázdil, T., Chatterjee, K., Forejt, V., &#38; Kučera, A. (2015). Multigain: A controller synthesis tool for MDPs with multiple mean-payoff objectives. Presented at the TACAS: Tools and Algorithms for the Construction and Analysis of Systems, London, United Kingdom: Springer. <a href=\"https://doi.org/10.1007/978-3-662-46681-0_12\">https://doi.org/10.1007/978-3-662-46681-0_12</a>","short":"T. Brázdil, K. Chatterjee, V. Forejt, A. Kučera, 9035 (2015) 181–187.","mla":"Brázdil, Tomáš, et al. <i>Multigain: A Controller Synthesis Tool for MDPs with Multiple Mean-Payoff Objectives</i>. Vol. 9035, Springer, 2015, pp. 181–87, doi:<a href=\"https://doi.org/10.1007/978-3-662-46681-0_12\">10.1007/978-3-662-46681-0_12</a>.","chicago":"Brázdil, Tomáš, Krishnendu Chatterjee, Vojtěch Forejt, and Antonín Kučera. “Multigain: A Controller Synthesis Tool for MDPs with Multiple Mean-Payoff Objectives.” Lecture Notes in Computer Science. Springer, 2015. <a href=\"https://doi.org/10.1007/978-3-662-46681-0_12\">https://doi.org/10.1007/978-3-662-46681-0_12</a>.","ieee":"T. Brázdil, K. Chatterjee, V. Forejt, and A. Kučera, “Multigain: A controller synthesis tool for MDPs with multiple mean-payoff objectives,” vol. 9035. Springer, pp. 181–187, 2015.","ista":"Brázdil T, Chatterjee K, Forejt V, Kučera A. 2015. Multigain: A controller synthesis tool for MDPs with multiple mean-payoff objectives. 9035, 181–187.","ama":"Brázdil T, Chatterjee K, Forejt V, Kučera A. Multigain: A controller synthesis tool for MDPs with multiple mean-payoff objectives. 2015;9035:181-187. doi:<a href=\"https://doi.org/10.1007/978-3-662-46681-0_12\">10.1007/978-3-662-46681-0_12</a>"},"oa_version":"Preprint","month":"01","title":"Multigain: A controller synthesis tool for MDPs with multiple mean-payoff objectives","doi":"10.1007/978-3-662-46681-0_12","_id":"1839","publication_status":"published","conference":{"location":"London, United Kingdom","start_date":"2015-04-11","end_date":"2015-04-18","name":"TACAS: Tools and Algorithms for the Construction and Analysis of Systems"},"series_title":"Lecture Notes in Computer Science","oa":1,"publisher":"Springer","department":[{"_id":"KrCh"}],"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","page":"181 - 187","author":[{"first_name":"Tomáš","full_name":"Brázdil, Tomáš","last_name":"Brázdil"},{"last_name":"Chatterjee","id":"2E5DCA20-F248-11E8-B48F-1D18A9856A87","full_name":"Chatterjee, Krishnendu","orcid":"0000-0002-4561-241X","first_name":"Krishnendu"},{"last_name":"Forejt","first_name":"Vojtěch","full_name":"Forejt, Vojtěch"},{"last_name":"Kučera","first_name":"Antonín","full_name":"Kučera, Antonín"}],"publist_id":"5263","language":[{"iso":"eng"}],"date_published":"2015-01-01T00:00:00Z","year":"2015","date_created":"2018-12-11T11:54:18Z","alternative_title":["LNCS"],"volume":9035,"project":[{"_id":"2584A770-B435-11E9-9278-68D0E5697425","name":"Modern Graph Algorithmic Techniques in Formal Verification","call_identifier":"FWF","grant_number":"P 23499-N23"},{"grant_number":"S 11407_N23","call_identifier":"FWF","_id":"25832EC2-B435-11E9-9278-68D0E5697425","name":"Rigorous Systems Engineering"},{"call_identifier":"FP7","grant_number":"279307","name":"Quantitative Graph Games: Theory and Applications","_id":"2581B60A-B435-11E9-9278-68D0E5697425"}],"ec_funded":1,"main_file_link":[{"url":"http://arxiv.org/abs/1501.03093","open_access":"1"}],"quality_controlled":"1","day":"01","abstract":[{"lang":"eng","text":"We present MultiGain, a tool to synthesize strategies for Markov decision processes (MDPs) with multiple mean-payoff objectives. Our models are described in PRISM, and our tool uses the existing interface and simulator of PRISM. Our tool extends PRISM by adding novel algorithms for multiple mean-payoff objectives, and also provides features such as (i) generating strategies and exploring them for simulation, and checking them with respect to other properties; and (ii) generating an approximate Pareto curve for two mean-payoff objectives. In addition, we present a new practical algorithm for the analysis of MDPs with multiple mean-payoff objectives under memoryless strategies."}],"status":"public","date_updated":"2020-01-21T13:18:52Z","intvolume":"      9035"}