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 …

Over the last years, the field of artificial intelligence (AI) has continuously evolved to great
success. As a subset of AI, Reinforcement Learning (RL) has gained significant popularity as …

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 …

This paper aims to provide a comprehensive survey of the reinforcement learning algorithms
given in the literature. Especially model-free reinforcement learning algorithms are given in …

Reinforcement learning (RL) has emerged as a powerful tool for addressing complex
decision making problems in various domains, including aviation. This paper provides a …

Reinforcement Learning Basics | SpringerLink Skip to main content Advertisement SpringerLink
Account Menu Find a journal Publish with us Track your research Search Cart Book cover …

Reinforcement learning has always been a research hotspot in the machine learning
community, which aims to model the process of investigating the interaction between agents …

We present Park, a platform for researchers to experiment with Reinforcement Learning (RL)
for computer systems. Using RL for improving the performance of systems has a lot of …

Reinforcement Learning (RL) has emerged as a strong approach in the field of Artificial
intelligence, specifically, in the field of machine learning, robotic navigation, etc. In this paper …

Reinforcement learning (RL) is a pivotal branch of machine learning focused on training
agents to make sequences of decisions by maximizing cumulative rewards in dynamic …