A Theoretical Analysis of Deep Q-Learning

1 Jan 2019 Jianqing Fan Zhaoran Wang Yuchen Xie Zhuoran Yang

Despite the great empirical success of deep reinforcement learning, its theoretical foundation is less well understood. In this work, we make the first attempt to theoretically understand the deep Q-network (DQN) algorithm (Mnih et al., 2015) from both algorithmic and statistical perspectives... (read more)

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