大满贯电子游戏网站李现伟博士学术报告——深度强化学习理论及应用

作者:Lin Cui 时间:2019-05-22 点击数:

学术讲座时间:2019年5月22日13:00

学术讲座地点:工B308

学术讲座对象:大满贯电子游戏网站教师与学生

摘要:

    Deep reinforcement learning is standard reinforcement learning where a deep neural network is used to approximate either a policy or a value function. Deep reinforcement learning has become extremely popular in some of the recent major advances in artificial intelligence (e.g., AlphaGo). Deep reinforcement learning has also been widely adopted in a lot of areas, such as MEC, cloud computing, communication networks.

    A brief introduction to basic concepts of deep reinforcement learning, with a special focus on Deep Q-Network (DQN) is presented.

 

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