[HTML][HTML] A review of path-planning approaches for multiple mobile robots
Numerous path-planning studies have been conducted in past decades due to the
challenges of obtaining optimal solutions. This paper reviews multi-robot path-planning …
challenges of obtaining optimal solutions. This paper reviews multi-robot path-planning …
Statistical tools and methodologies for urllc-a tutorial
Ultra-reliable low-latency communication (URLLC) constitutes a key service class of the fifth
generation and beyond cellular networks. Notably, designing and supporting URLLC poses …
generation and beyond cellular networks. Notably, designing and supporting URLLC poses …
Towards semantic communication protocols for 6g: From protocol learning to language-oriented approaches
The forthcoming 6G systems are expected to address a wide range of non-stationary tasks.
This poses challenges to traditional medium access control (MAC) protocols that are static …
This poses challenges to traditional medium access control (MAC) protocols that are static …
Bayesian inverse contextual reasoning for heterogeneous semantics-native communication
This work deals with a heterogeneous semantics-native communication (SNC) problem.
When agents do not share the same communication context, the effectiveness of contextual …
When agents do not share the same communication context, the effectiveness of contextual …
[HTML][HTML] Unmanned Autonomous Intelligent System in 6G Non-Terrestrial Network
X Wang, Y Guo, Y Gao - Information, 2024 - mdpi.com
Non-terrestrial network (NTN) is a trending topic in the field of communication, as it shows
promise for scenarios in which terrestrial infrastructure is unavailable. Unmanned …
promise for scenarios in which terrestrial infrastructure is unavailable. Unmanned …
[HTML][HTML] Path planning research of a UAV base station searching for disaster victims' location information based on deep reinforcement learning
J Zhao, Z Gan, J Liang, C Wang, K Yue, W Li, Y Li, R Li - Entropy, 2022 - mdpi.com
Aiming at the path planning problem of unmanned aerial vehicle (UAV) base stations when
performing search tasks, this paper proposes a Double DQN-state splitting Q network …
performing search tasks, this paper proposes a Double DQN-state splitting Q network …
An overview: Attention mechanisms in multi-agent reinforcement learning
K Hu, K Xu, Q Xia, M Li, Z Song, L Song, N Sun - Neurocomputing, 2024 - Elsevier
In recent years, in the field of Multi-Agent Systems (MAS), significant progress has been
made in the research of algorithms that combine Reinforcement Learning (RL) with Attention …
made in the research of algorithms that combine Reinforcement Learning (RL) with Attention …
Collaborative relay for achieving long-term and low-AoI data collection in UAV-aided IoT systems
X Fu, X Huang, Q Pan - Vehicular Communications, 2024 - Elsevier
Abstract In Internet of Things (IoT) systems, sensor nodes are frequently placed in remote
and unattended locations to monitor environmental data. One significant challenge is …
and unattended locations to monitor environmental data. One significant challenge is …
Joint Client Selection and Model Compression for Efficient FL in UAV-assisted Wireless Networks
L Chen, R Wang, Y Cui, P He… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Deploying federated learning (FL) applications in unmanned aerial vehicle (UAV)-assisted
wireless networks can enable ground terminals (GTs) to perform complex machine learning …
wireless networks can enable ground terminals (GTs) to perform complex machine learning …
强化学习中的注意力机制研究综述.
夏庆锋， 许可儿， 李明阳， 胡凯… - Journal of Frontiers …, 2024 - search.ebscohost.com
近年来, 强化学习与注意力机制的结合在算法研究领域备受瞩目. 在强化学习算法中,
注意力机制的应用在提高算法性能方面发挥了重要作用. 重点聚焦于注意力机制在深度强化学习 …
注意力机制的应用在提高算法性能方面发挥了重要作用. 重点聚焦于注意力机制在深度强化学习 …