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  1. Efficient solutions to factored MDPs with imprecise transition probabilities.Karina Valdivia Delgado, Scott Sanner & Leliane Nunes de Barros - 2011 - Artificial Intelligence 175 (9-10):1498-1527.
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  • Robust planning with incomplete domain models.Tuan Nguyen, Sarath Sreedharan & Subbarao Kambhampati - 2017 - Artificial Intelligence 245 (C):134-161.
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  • Partially observable Markov decision processes with imprecise parameters.Hideaki Itoh & Kiyohiko Nakamura - 2007 - Artificial Intelligence 171 (8-9):453-490.
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  • Explain it as simple as possible, but no simpler – Explanation via model simplification for addressing inferential gap.Sarath Sreedharan, Siddharth Srivastava & Subbarao Kambhampati - 2025 - Artificial Intelligence 340 (C):104279.
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  • Real-time dynamic programming for Markov decision processes with imprecise probabilities.Karina V. Delgado, Leliane N. de Barros, Daniel B. Dias & Scott Sanner - 2016 - Artificial Intelligence 230 (C):192-223.
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  • Reachability analysis of uncertain systems using bounded-parameter Markov decision processes.Xenofon di WuKoutsoukos - 2008 - Artificial Intelligence 172 (8-9):945-954.
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  • Solving factored MDPs using non-homogeneous partitions.Kee-Eung Kim & Thomas Dean - 2003 - Artificial Intelligence 147 (1-2):225-251.
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  • Generating diverse plans to handle unknown and partially known user preferences.Tuan Anh Nguyen, Minh Do, Alfonso Emilio Gerevini, Ivan Serina, Biplav Srivastava & Subbarao Kambhampati - 2012 - Artificial Intelligence 190 (C):1-31.
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