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：信息工程学院教师与学生
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.
信息工程学院
