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A Probabilistic Programming Language for Influence Diagrams.

, , and . SUM, volume 10564 of Lecture Notes in Computer Science, page 252-265. Springer, (2017)

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An Efficient Non-Bayesian Approach for Interactive Preference Elicitation Under Noisy Preference Models., , , and . ECSQARU, volume 14294 of Lecture Notes in Computer Science, page 308-321. Springer, (2023)Evaluating sets of multi-attribute alternatives with uncertain preferences.. University College Cork, Republic of Ireland, (2020)base-search.net (ftunivcollcork:oai:cora.ucc.ie:10468/11277).Efficient Exact Computation of Setwise Minimax Regret for Interactive Preference Elicitation., , and . AAMAS, page 1326-1334. ACM, (2021)Balancing Schedules Using Maximum Leximin., and . ECSQARU, volume 11726 of Lecture Notes in Computer Science, page 492-503. Springer, (2019)Minimality and Comparison of Sets of Multi-Attribute Vectors., and . ECAI, volume 325 of Frontiers in Artificial Intelligence and Applications, page 913-920. IOS Press, (2020)Minimality and comparison of sets of multi-attribute vectors., and . Auton. Agents Multi Agent Syst., 36 (2): 44 (2022)A multi-objective supplier selection framework based on user-preferences., , , , , and . Ann. Oper. Res., 308 (1): 609-640 (2022)Gym-DC: A Distribution Centre Reinforcement Learning Environment., , and . ICPR Workshops (2), volume 13644 of Lecture Notes in Computer Science, page 687-699. Springer, (2022)A Probabilistic Programming Language for Influence Diagrams., , and . SUM, volume 10564 of Lecture Notes in Computer Science, page 252-265. Springer, (2017)