Maximize the long-term average revenue of network slice provider via admission control among heterogeneous slices
Network slicing endows 5G/B5G with differentiated and customized capabilities to cope with
the proliferation of diversified services, whereas limited physical network resources may not …
the proliferation of diversified services, whereas limited physical network resources may not …
Multi-agent reinforcement learning with policy clipping and average evaluation for UAV-assisted communication Markov game
Unmanned aerial vehicle (UAV)-assisted communication is a significant technology in 6G
communication. In order to cope with the dynamic trajectory optimization problem of the air …
communication. In order to cope with the dynamic trajectory optimization problem of the air …
Approximating Nash equilibrium for anti-UAV jamming Markov game using a novel event-triggered multi-agent reinforcement learning
In the downlink communication, it is currently challenging for ground users to cope with the
uncertain interference from aerial intelligent jammers. The cooperation and competition …
uncertain interference from aerial intelligent jammers. The cooperation and competition …
Modeling motorcyclist–pedestrian near misses: A multiagent adversarial inverse reinforcement learning approach
Several studies have used surrogate safety measures obtained from microsimulation
packages, such as VISSIM, for safety assessments. However, this approach has …
packages, such as VISSIM, for safety assessments. However, this approach has …
Multi-agent Reinforcement Learning Clustering Algorithm Based on Silhouette Coefficient
P Du, F Li, J Shao - Neurocomputing, 2024 - Elsevier
As an important branch of emerging artificial intelligence algorithms, multi-agent
reinforcement learning (MARL) has shown strong performance in collaborative …
reinforcement learning (MARL) has shown strong performance in collaborative …
A distributed reinforcement learning approach for power control in wireless networks
This paper tackles the power control problem in the context of wireless networks. The
development of intelligent services based on widespread smart devices with limited energy …
development of intelligent services based on widespread smart devices with limited energy …
基于局部位置感知的多智能体网约车调度方法.
黄晓辉， 凌嘉壕， 张雄， 熊李艳… - Journal of Computer …, 2023 - search.ebscohost.com
近年来, 网上约车成为人们日常出行不可或缺的一部分. 网约车平台的核心任务是如何有效地把
订单派送给合适的司机, 使得用户总体等待时间尽可能短, 而司机的收益尽可能高 …
订单派送给合适的司机, 使得用户总体等待时间尽可能短, 而司机的收益尽可能高 …
Strategy Determination for Multiple USVs: A Min-max Q-learning Approach
L Hong, W Cui - International Conference on Neural Computing for …, 2023 - Springer
Abstract The application of Unmanned Surface Vehicles (USVs) has gained significant
momentum in various domains, including surveillance operations and security enforcement …
momentum in various domains, including surveillance operations and security enforcement …
Determining the Equilibrium Solution in Two-Player Dynamic Discrete Markovian Games with transition probabilities influenced by competitor strategies
R Sadeghian - Soft Computing Journal, 2022 - scj.kashanu.ac.ir
This paper focuses on a specific type of game called Markovian dynamic game. In these
games, the strategy of each player is considered as a state of a Markov chain. At each stage …
games, the strategy of each player is considered as a state of a Markov chain. At each stage …
Approximating Stackelberg Equilibrium in Anti-UAV Jamming Markov Game with Hierarchical Multi-Agent Deep Reinforcement Learning Algorithm
Z Feng, Y Wu, M Huang, D Wu - 2021 - researchsquare.com
In order to avoid the malicious jamming of the intelligent unmanned aerial vehicle (UAV) to
ground users in the downlink communications, a new anti-UAV jamming strategy based on …
ground users in the downlink communications, a new anti-UAV jamming strategy based on …