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We study emergent communication in a multi-agent reinforcement learning setting, where the agents solve cooperative tasks and have access to a communication channel. The communication channel may consist of either discrete symbols or…

Machine Learning · Computer Science 2024-10-29 John Isak Fjellvang Villanger , Troels Arnfred Bojesen

With the advent of emerging IoT applications such as autonomous driving, digital-twin and metaverse etc. featuring massive data sensing, analyzing and inference as well critical latency in beyond 5G (B5G) networks, edge artificial…

Information Theory · Computer Science 2023-06-13 Hong Xing , Guangxu Zhu , Dongzhu Liu , Haifeng Wen , Kaibin Huang , Kaishun Wu

In real-world scenarios, it is desirable for embodied agents to have the ability to leverage human language to gain explicit or implicit knowledge for learning tasks. Despite recent progress, most previous approaches adopt simple low-level…

Computation and Language · Computer Science 2024-11-01 Jiajun Xi , Yinong He , Jianing Yang , Yinpei Dai , Joyce Chai

As artificial intelligence (AI)-enabled wireless communication systems continue their evolution, distributed learning has gained widespread attention for its ability to offer enhanced data privacy protection, improved resource utilization,…

Networking and Internet Architecture · Computer Science 2024-04-03 Junjie Wu , Xuming Fang

This book chapter is an introduction to and an overview of the information-theoretic, task independent utility function "Empowerment", which is defined as the channel capacity between an agent's actions and an agent's sensors. It quantifies…

Artificial Intelligence · Computer Science 2013-10-09 Christoph Salge , Cornelius Glackin , Daniel Polani

With the advent of 5G era, factories are transitioning towards wireless networks to break free from the limitations of wired networks. In 5G-enabled factories, unmanned automatic devices such as automated guided vehicles and robotic arms…

Performance · Computer Science 2023-10-25 Zeyang Meng , Dingyou Ma , Shengfeng Wang , Zhiqing Wei , Zhiyong Feng

To cooperate with humans effectively, virtual agents need to be able to understand and execute language instructions. A typical setup to achieve this is with a scripted teacher which guides a virtual agent using language instructions.…

Computation and Language · Computer Science 2019-08-15 Mathijs Mul , Diane Bouchacourt , Elia Bruni

Integrating sensing and communication (ISAC) can help overcome the challenges of limited spectrum and expensive hardware, leading to improved energy and cost efficiency. While full cooperation between sensing and communication can result in…

Information Theory · Computer Science 2026-02-16 Mojtaba Vaezi , Gayan Aruma Baduge , Esa Ollila , Sergiy A. Vorobyov

Advances in wireless communication and signal processing facilitate integrated sensing and communication a compelling technology that intrinsically combines sensing and communication functionalities for the dual purpose exploitation of…

Signal Processing · Electrical Eng. & Systems 2022-07-29 Xinyu Li , Yuanhao Cui , J. Andrew Zhang , Fan Liu , Daqing Zhang , Lajos Hanzo

As 6G evolves, the radio access network must transcend traditional automation to embrace agentic AI capable of perception, reasoning, and evolution. A fundamental cognitive gap persists in current disaggregated architectures, where…

Networking and Internet Architecture · Computer Science 2026-05-12 Xijun Wang , Zhaoyang Liu , Chenyuan Feng , Xiang Chen , Howard H. Yang , Tony Q. S. Quek

Future sixth-generation (6G) networks are expected to support low-altitude wireless networks (LAWNs), where unmanned aerial vehicles (UAVs) and aerial robots operate in highly dynamic three-dimensional environments under stringent latency,…

Systems and Control · Electrical Eng. & Systems 2026-01-26 Lingxiao Sun , Zhaoyang Zhang , Zihan Lin , Zirui Chen , Weijie Zhou , Zhaohui Yang , Tony Q. S. Quek

Efficient digital twin (DT) synchronization relies on maintaining high-fidelity virtual representations with minimal age of information (AoI). However, the synergistic potential of cooperative sensing and autonomous mobility of the sensing…

Semantic communication has emerged as new paradigm shifts in 6G from the conventional syntax-oriented communications. Recently, the wireless broadcast technology has been introduced to support semantic communication system toward higher…

Signal Processing · Electrical Eng. & Systems 2024-02-01 Mingze Gong , Shuoyao Wang , Fangwei Ye , Suzhi Bi

Embodied agents capable of complex physical skills can improve productivity, elevate life quality, and reshape human-machine collaboration. We aim at autonomous training of embodied agents for various tasks involving mainly large foundation…

Robotics · Computer Science 2024-02-14 Sizhe Yang , Qian Luo , Anumpam Pani , Yanchao Yang

With the rapid advancement and deployment of intelligent agents and artificial general intelligence (AGI), a fundamental challenge for future networks is enabling efficient communications among agents. Unlike traditional human-centric,…

Networking and Internet Architecture · Computer Science 2024-12-03 Shaolong Guo , Yuntao Wang , Ning Zhang , Zhou Su , Tom H. Luan , Zhiyi Tian , Xuemin , Shen

Edge General Intelligence (EGI) represents a transformative evolution of edge computing, where distributed agents possess the capability to perceive, reason, and act autonomously across diverse, dynamic environments. Central to this vision…

The relentless development of the Internet of Things (IoT) communication technologies and the gradual maturity of Artificial Intelligence (AI) have led to a powerful cognitive computing ability. Users can now access efficient and convenient…

Networking and Internet Architecture · Computer Science 2018-10-25 Min Chen , Yiming Miao , Xin Jian , Xiaofei Wang , Iztok Humar

The sixth-generation wireless communications (6G) is often labeled as "connected intelligence". Radio sensing, aligned with machine learning (ML) and artificial intelligence (AI), promises, among other benefits, breakthroughs in the…

Emergent language research has made significant progress in recent years, but still largely fails to explore how communication emerges in more complex and situated multi-agent systems. Existing setups often employ a reference game, which…

Artificial Intelligence · Computer Science 2024-10-18 Cornelius Wolff , Julius Mayer , Elia Bruni , Xenia Ohmer

Robotic technologies have been an indispensable part for improving human productivity since they have been helping humans in completing diverse, complex, and intensive tasks in a fast yet accurate and efficient way. Therefore, robotic…