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Planning under Uncertainty for Aggregated Electric Vehicle Charging Using Markov Decision Processes.

, and . AAAI Workshop: AI for Smart Grids and Smart Buildings, volume WS-16-04 of AAAI Workshops, AAAI Press, (2016)

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A Unified Decision-Theoretic Model for Information Gathering and Communication Planning., , , and . RO-MAN, page 67-74. IEEE, (2020)Traffic flow optimization: A reinforcement learning approach., , and . Eng. Appl. Artif. Intell., (2016)A Flexible Approach to Modeling Unpredictable Events in MDPs., , , and . ICAPS, AAAI, (2013)Column Generation Algorithms for Constrained POMDPs., and . J. Artif. Intell. Res., (2018)The MADP Toolbox: An Open Source Library for Planning and Learning in (Multi-)Agent Systems., , , , and . J. Mach. Learn. Res., (2017)Abstraction-Refinement for Hierarchical Probabilistic Models., and . CAV (1), volume 13371 of Lecture Notes in Computer Science, page 102-123. Springer, (2022)Partially Observable Markov Decision Processes.. Reinforcement Learning, volume 12 of Adaptation, Learning, and Optimization, Springer, (2012)Accelerated Vector Pruning for Optimal POMDP Solvers., and . AAAI, page 3672-3678. AAAI Press, (2017)Planning Under Uncertainty for Aggregated Electric Vehicle Charging with Renewable Energy Supply., and . ECAI, volume 285 of Frontiers in Artificial Intelligence and Applications, page 904-912. IOS Press, (2016)Decoupling a Resource Constraint Through Fictitious Play in Multi-Agent Sequential Decision Making., , and . ECAI, volume 285 of Frontiers in Artificial Intelligence and Applications, page 1724-1725. IOS Press, (2016)