The steep rise in reinforcement learning (RL) in various applications in energy as well as the
penetration of home automation in recent years are the motivation for this article. It surveys …

Reinforcement Learning (RL) has emerged as a powerful paradigm in Artificial Intelligence
(AI), enabling agents to learn optimal behaviors through interactions with their environments …

In this paper, in order to solve the problem of wireless sensor networks' reliable transmission
in intelligent malicious jamming, we propose a Distributed Anti-Jamming Algorithm (DAJA) …

Most of the existing intelligent anti-jamming communication algorithms model sensing,
learning, and transmission as a serial process, and ideally assume that the duration of …

In the field of intelligent anti-jamming, deep reinforcement learning algorithms are regarded
as key technical means. However, the learning process of deep reinforcement learning …

This paper proposes a central anti-jamming algorithm (CAJA) based on improved Q-
learning to further solve the communication challenges faced by multi-user wireless …

With ultra-dense networks, the large number of densely deployed low-power base stations
creates more serious interference problems for the network. To address this problem, we …