Q-Learning

How to Build an Intelligent Agent

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How to Build an Intelligent Agent

Building an intelligent agent typically involves several steps, from problem definition, model selection, training, to deployment. This process applies to various types of agents, including those used in reinforcement learning, planning, and robotic control. Here are the general steps for building an agent: 1. Define the Problem and Task Before constructing an agent, it is … Read more

TensorFlow 2 Models: Deep Reinforcement Learning

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TensorFlow 2 Models: Deep Reinforcement Learning

By / Li Xihan, Google Developers Expert This article is excerpted from “Simple and Brutal TensorFlow 2”, reply “Manual” to get the collection. It should have been introduced long ago, the deep reinforcement learning in TensorFlow, yes, it is finally done! This article will introduce the process of implementing the Q-learning algorithm using TensorFlow in … Read more