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The Infrared Medium-deep Survey. VIII. Quasar Luminosity Function at $z\sim5$, , , , , , , , , and 20 other author(s). (2020)cite arxiv:2010.05859Comment: 21 pages, 14 figures, 7 tables. Accepted for publication in ApJ.Semi-Supervised Imitation Learning with Mixed Qualities of Demonstrations for Autonomous Driving., , , , , , , and . CoRR, (2021)SafeTAC: Safe Tsallis Actor-Critic Reinforcement Learning for Safer Exploration., , and . IROS, page 4070-4075. IEEE, (2022)SemCluster: clustering of imperative programming assignments based on quantitative semantic features., , , and . PLDI, page 860-873. ACM, (2019)Discovery of A Faint Quasar at z~6 and Implications for Cosmic Reionization, , , , , , , , , and 8 other author(s). (2015)cite arxiv:1511.01585Comment: 5 pages, 4 figures, 1 table. Published in ApJ Letters.The Infrared Medium-deep Survey. IX. Discovery of Two New $z\sim6$ Quasars and Space Density down to $M_1450\sim-23.5$ mag, , , , , , , , , and 10 other author(s). (2022)cite arxiv:2207.12282Comment: 21 pages, 13 figures, 4 tables. Accepted for publication in AJ.COMS Visible Channel Calibration Using Moon Observation Data., and . Remote Sensing, 10 (5): 726 (2018)TRC: Trust Region Conditional Value at Risk for Safe Reinforcement Learning., and . IEEE Robotics Autom. Lett., 7 (2): 2621-2628 (2022)RDR-based knowledge based system to the failure detection in industrial cyber physical systems., , , , and . Knowl. Based Syst., (2018)GSICS Inter-Calibration of Infrared Channels of Geostationary Imagers Using Metop/IASI., , , , , , and . IEEE Trans. Geosci. Remote. Sens., 51 (3-1): 1160-1170 (2013)