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深度强化学习综述 - ict.ac.cn

40 Vol. 40 2017 CHINESE JOURNAL OF COMPUTERS Online Publishing (61472262, 61303108, 61373094, 61502323, 61502329) SYG201422, SYG201308 1969 (CCF) 1992 . , , 1985 , , , , agent . 1983 . 1992 . 1992 . 1991 . + 1)( 215006) 2)( 210000) 3 TP18 , , , , , , , ,2017 , LIU Quan, ZHAI Jian-Wei, ZHANG Zong.

optimization methods to optimize the policies. In this part, we firstly highlight some pure policy gradient methods, then focus on a series of policy-based DRL algorithms which use the actor-critic framework e.g., Deep Deterministic Policy Gradient (DDPG), followed by an effective method named Asynchronous Advantage

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  Methods, Deep, Asynchronous

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