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Integrating State Representation Learning Into Deep Reinforcement Learning.

, , , and . IEEE Robotics Autom. Lett., 3 (2): 1394-1401 (2018)

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Modeling and identification of a strip guidance process with internal feedback., , , , and . IEEE Trans. Contr. Sys. Techn., 6 (1): 88-102 (1998)Symbolic Regression Methods for Reinforcement Learning., , , and . CoRR, (2019)An application of sequential composition control to cooperative systems., , and . RoMoCo, page 15-20. IEEE, (2015)Adaptive fuzzy control of a non-linear servo-drive: Theory and experimental results., , and . Eng. Appl. Artif. Intell., 21 (6): 846-857 (2008)Multi-agent discrete-time graphical games and reinforcement learning solutions., , , , and . Autom., 50 (12): 3038-3053 (2014)Multiobjective identification of Takagi-Sugeno fuzzy models., and . IEEE Trans. Fuzzy Syst., 11 (6): 847-860 (2003)Effective optimization for fuzzy model predictive control., , , and . IEEE Trans. Fuzzy Syst., 12 (5): 661-675 (2004)Robust stability constraints for fuzzy model predictive control., , , , and . IEEE Trans. Fuzzy Syst., 10 (1): 50-64 (2002)A Comprehensive Survey of Multiagent Reinforcement Learning., , and . IEEE Trans. Syst. Man Cybern. Part C, 38 (2): 156-172 (2008)Experience Replay for Real-Time Reinforcement Learning Control., , and . IEEE Trans. Syst. Man Cybern. Part C, 42 (2): 201-212 (2012)