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Link to original content: https://dblp.uni-trier.de/rec/conf/cdc/ZhangKZB19.ris
Provider: Schloss Dagstuhl - Leibniz Center for Informatics Database: dblp computer science bibliography Content:text/plain; charset="utf-8" TY - CPAPER ID - DBLP:conf/cdc/ZhangKZB19 AU - Zhang, Kaiqing AU - Koppel, Alec AU - Zhu, Hao AU - Basar, Tamer TI - Convergence and Iteration Complexity of Policy Gradient Method for Infinite-horizon Reinforcement Learning. BT - 58th IEEE Conference on Decision and Control, CDC 2019, Nice, France, December 11-13, 2019 SP - 7415 EP - 7422 PY - 2019// DO - 10.1109/CDC40024.2019.9030265 UR - https://doi.org/10.1109/CDC40024.2019.9030265 ER -