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Imitative Learning for Online Planning in Microgrids., , , , и . DARE, том 9518 из Lecture Notes in Computer Science, стр. 1-15. Springer, (2015)Fuzzy Approximation for Convergent Model-Based Reinforcement Learning., , , и . FUZZ-IEEE, стр. 1-6. IEEE, (2007)On Overfitting and Asymptotic Bias in Batch Reinforcement Learning with Partial Observability (Extended Abstract)., , , , и . IJCAI, стр. 5055-5059. ijcai.org, (2020)Journal track.Comprehensive Review on Static and Dynamic Distribution Network Reconfiguration Methodologies., , , и . IEEE Access, (2024)Assessing the Economic Value of Renewable Resource Complementarity for Power Systems: an ENTSO-E Study., , , , , , , и . CoRR, (2020)Warming-up recurrent neural networks to maximize reachable multi-stability greatly improves learning., , и . CoRR, (2021)Recurrent networks, hidden states and beliefs in partially observable environments., , и . CoRR, (2022)Near Optimal Closed-Loop Control. Application to Electric Power Systems.. University of Liège, Belgium, (2003)Optimal discovery with probabilistic expert advice., , и . CDC, стр. 6808-6812. IEEE, (2012)Clinical data based optimal STI strategies for HIV: a reinforcement learning approach., , , и . CDC, стр. 667-672. IEEE, (2006)