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Financial Time Series Prediction in Cooperating with Event Knowledge: A Fuzzy Approach., , , and . MICAI (2), volume 6438 of Lecture Notes in Computer Science, page 406-417. Springer, (2010)Deep Reinforcement Learning for Multi-Agent Systems: A Review of Challenges, Solutions and Applications., , and . CoRR, (2018)Review, Analyze, and Design a Comprehensive Deep Reinforcement Learning Framework., , , and . CoRR, (2020)XCP : un environnement graphique conversationnel pour l'examen des structures d'un système , application à CP-67.. Joseph Fourier University, Grenoble, France, (1973)Automatic Modulation Classification: A Deep Architecture Survey., , , , , , and . IEEE Access, (2021)A Prioritized objective actor-critic method for deep reinforcement learning., , , , and . Neural Comput. Appl., 33 (16): 10335-10349 (2021)Multi-Output Interval Type-2 Fuzzy Logic System for Protein Secondary Structure Prediction., , , and . Int. J. Uncertain. Fuzziness Knowl. Based Syst., 23 (5): 735-760 (2015)Motor Imagery Data Classification for BCI Application Using Wavelet Packet Feature Extraction., , and . ICONIP (3), volume 8836 of Lecture Notes in Computer Science, page 519-526. Springer, (2014)Towards designing a generic and comprehensive deep reinforcement learning framework., , , , , , , , , and 1 other author(s). Appl. Intell., 53 (3): 2967-2988 (2023)Artificial intelligence for the metaverse: A survey., , , , , and . Eng. Appl. Artif. Intell., 117 (Part): 105581 (2023)