Abstract Graphical User Interface (GUI) automation holds significant promise for assisting
users with complex tasks thereby boosting human productivity. Existing works leveraging …

Graphical User Interface (GUI) automation holds significant promise for assisting users with
complex tasks, thereby boosting human productivity. Existing works leveraging Large …

Open Radio Access Network (O-RAN) has introduced an emerging RAN architecture that
enables openness, intelligence, and automated control. The RAN Intelligent Controller (RIC) …

Macrodiversity is a key technique to increase the capacity of mobile networks. It can be
realized using coordinated multipoint (CoMP), simultaneously connecting users to multiple …

Recent advances in deep reinforcement learning (DRL) have made it possible to train
various powerful agents to perform complex tasks in real-time environments. With the next …

Risk-sensitive reinforcement learning (RL) has garnered significant attention in recent years
due to the growing interest in deploying RL agents in real-world scenarios. A critical aspect …

This paper proposes a novel framework that leverages large language models (LLMs) to
automate curriculum design, thereby enhancing the application of reinforcement learning …

The Open Radio Access Network (RAN) architecture has introduced new elements in the
RAN, ie, the RAN Intelligent Controllers (RICs), which allow for closed-loop control of the …

In this work, we present a novel framework for Best Arm Identification (BAI) under fairness
constraints, a setting that we refer to as\textit {F-BAI}(fair BAI). Unlike traditional BAI, which …

The rapid advancement of Internet of Things (IoT) technology has revolutionized industries
and daily life through enhanced connectivity and automation. Moreover, the development of …