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Toward Self-Driving Bicycles Using State-of-the-Art Deep Reinforcement Learning Algorithms.

, , , , , and . Symmetry, 11 (2): 290 (2019)

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Importance sampling policy gradient algorithms in reproducing kernel Hilbert space., , , and . Artif. Intell. Rev., 52 (3): 2039-2059 (2019)Ontology-Based Recommender System for Sport Events., , , and . IMCOM, volume 935 of Advances in Intelligent Systems and Computing, page 870-885. Springer, (2019)A Functional Optimization Method for Continuous Domains., , , and . INISCOM, volume 221 of Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, page 254-265. Springer, (2017)Toward Reinforcement Learning-based Rectilinear Macro Placement Under Human Constraints., , , , , , , , , and 1 other author(s). CoRR, (2023)Performance analysis of H.264, H.265, VP9 and AV1 video encoders., , , , , , , and . APNOMS, page 322-325. IEEE, (2017)A Deep Reinforcement Learning-based Application Framework for Conveyor Belt-based Pick-and-Place Systems using 6-axis Manipulators under Uncertainty and Real-time Constraints., , and . UR, page 464-470. IEEE, (2021)Center-Emphasized Visual Saliency and a Contrast-Based Full Reference Image Quality Index., , , , and . Symmetry, 11 (3): 296 (2019)A Deep Hierarchical Reinforcement Learning Algorithm in Partially Observable Markov Decision Processes., , and . IEEE Access, (2018)Deep reinforcement learning algorithms for steering an underactuated ship., , , and . MFI, page 602-607. IEEE, (2017)Deep Hierarchical Reinforcement Learning Algorithm in Partially Observable Markov Decision Processes., , , and . CoRR, (2018)