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Temporal and Object Relations in Unsupervised Plan and Activity Recognition., , and . AAAI Fall Symposia, page 51-59. AAAI Press, (2015)Revisiting Multi-Objective MDPs with Relaxed Lexicographic Preferences., , and . AAAI Fall Symposia, page 63-68. AAAI Press, (2015)Reports of the 2018 AAAI Fall Symposium., , , , , , , , , and 7 other author(s). AI Mag., 40 (2): 66-72 (2019)Selecting the Partial State Abstractions of MDPs: A Metareasoning Approach with Deep Reinforcement Learning., , , , and . IROS, page 11665-11670. IEEE, (2022)Agent-Aware State Estimation in Autonomous Vehicles., , , and . IROS, page 6694-6699. IEEE, (2021)Agent Influence and Intelligent Approximation in Multiagent Problems., and . IAT, page 311-314. IEEE Computer Society, (2009)978-0-7695-3801-3.Reinforcement Learning for Mixed Open-loop and Closed-loop Control., , and . NIPS, page 1026-1032. MIT Press, (1996)Balancing the Tradeoff Between Clustering Value and Interpretability., , and . AIES, page 351-357. ACM, (2020)Tuning the Hyperparameters of Anytime Planning: A Metareasoning Approach with Deep Reinforcement Learning., , , and . ICAPS, page 556-564. AAAI Press, (2022)Causal Explanations for Sequential Decision Making Under Uncertainty., , , and . AAMAS, page 2307-2309. ACM, (2023)