Reinforcement Learning (RL) is a branch of machine learning (ML) that is used to train
artificial intelligence (AI) systems and find the optimal solution for problems. This tutorial …

Reinforcement Learning (RL) has gained significant momentum in the development of
network protocols. However, RL-based protocols are still in their infancy, and substantial …

Reinforcement Learning (RL) is a very dynamic area in terms of theory and application. This
book brings together many different aspects of the current research on several fields …

Reinforcement learning (RL) is a general paradigm for learning, predicting, and decision
making, with broad applications in sciences, engineering and arts. RL has seen prominent …

Reinforcement Learning (RL) has been an interesting research area in Machine Learning
and AI. Hierarchical Reinforcement Learning (HRL) that decomposes the RL problem into …

The utilization of reinforcement learning (RL) within the field of education holds the potential
to bring about a significant shift in the way students approach and engage with learning and …

This chapter provides an overview of deep reinforcement learning (DRL) development in
wireless networks. In particular, we start with a brief overview of the development of wireless …

Reinforcement learning is an area of Machine Learning. The three primary types of machine
learning are supervised learning, unsupervised learning, and reinforcement learning (RL) …

Machine learning is a branch of artificial intelligence in which computers use data to teach
themselves and improve their problem-solving abilities. In this case, learning is the process …