基于TensorFlow的Q-Learning算法研究与实现

Research and Implementation of Deep Dream Model Based on TensorFlow

随着人工智能的蓬勃发展,人工智能对“智能化”的要求也越来越高,如何实现真正的智能即如何让机器自己去学习一种新技能成为一个重要的研究课题,而强化学习正是该课题的思路之一。将以强化学习开始,然后介绍Q-Learn ing算法的具体内容,最终利用深度学习框架TensorFlow完成该算法的实现。

With the rapid development of artificial intelligence,artificial intelligence has become more and more demanding for intelligence.How to realize real intelligence is how to let the machine learn a new skill by itself becomes an important research topic,and strengthen learning It is one of the ideas of this topic.Starts with reinforcement learning,then introduces the specific content of the Q-learning algorithm,and fi nally uses the deep learning framework TensorFlow to complete the algorithm.