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Data-Driven Solutions to Mixed $H_2/H_ınfty$ Control: A Hamilton-Inequality-Driven Reinforcement Learning Approach., , и . CCTA, стр. 340-345. IEEE, (2020)Safety-Aware Reinforcement Learning Framework with an Actor-Critic-Barrier Structure., , , , , и . ACC, стр. 2352-2358. IEEE, (2019)Safe Intermittent Reinforcement Learning for Nonlinear Systems., , , , , и . CDC, стр. 690-697. IEEE, (2019)Model-Free Event-Triggered Containment Control of Multi-Agent Systems., , , , и . ACC, стр. 877-884. IEEE, (2018)Modeling and analyzing nano-particle pushing with an AFM by using nano-hand strategy., , , , , и . NEMS, стр. 518-523. IEEE, (2010)Data-Driven Integral Reinforcement Learning for Continuous-Time Non-Zero-Sum Games., , , , , и . IEEE Access, (2019)Nanorobot enabled in situ sensing molecular interactions for drug discovery., , , , , , , и . IROS, стр. 5285-5290. IEEE, (2016)Hamiltonian-Driven Adaptive Dynamic Programming for Continuous Nonlinear Dynamical Systems., , и . IEEE Trans. Neural Networks Learn. Syst., 28 (8): 1929-1940 (2017)Enhancing Person Synthesis in Complex Scenes via Intrinsic and Contextual Structure Modeling., , и . BMVC, стр. 491. BMVA Press, (2022)Development of a quantifiable optical reader for lateral flow immunoassay., , , , и . BMEI, стр. 344-349. IEEE, (2015)