Deep Reinforcement Learning Models and Techniques
Dinh Thai Hoang, Nguyễn Văn Huynh, Diep Ngoc Nguyen, Ekram Hossain, Dusit Tao Niyato · 2023
In Chapter 2, reinforcement learning (RL) method was presented as an effective solution in dealing with the dynamics and uncertainty of the environment. Nevertheless, traditional RL techniques are limited to low-dimensional problems. To address this practical issue and large-dimensional problems, deep reinforcement learning (DRL), a combination of RL and a deep neural network, is a prominent approach. In this chapter, we will discuss the main concepts of the DRL algorithms and the mathematical background behind these algorithms. We will also provide a tutorial on the different DRL techniques and discuss their applications to different “wireless” problems.