A survey of the pursuit–evasion problem in swarm intelligence
For complex functions to emerge in artificial systems, it is important to understand the
intrinsic mechanisms of biological swarm behaviors in nature. In this paper, we present a …
intrinsic mechanisms of biological swarm behaviors in nature. In this paper, we present a …
An improved approach towards multi-agent pursuit–evasion game decision-making using deep reinforcement learning
A pursuit–evasion game is a classical maneuver confrontation problem in the multi-agent
systems (MASs) domain. An online decision technique based on deep reinforcement …
systems (MASs) domain. An online decision technique based on deep reinforcement …
Decentralized optimal large scale multi-player pursuit-evasion strategies: A mean field game approach with reinforcement learning
In this paper, the intelligent design for the pursuit-evasion game with large scale multi-
pursuer and multi-evader has been investigated. Due to the vast number of agents, the …
pursuer and multi-evader has been investigated. Due to the vast number of agents, the …
A survey of adaptive multi-agent networks and their applications in smart cities
The world is moving toward a new connected world in which millions of intelligent
processing devices communicate with each other to provide services in transportation …
processing devices communicate with each other to provide services in transportation …
A novel mean-field-game-type optimal control for very large-scale multiagent systems
In this article, a decentralized adaptive optimal controller based on the emerging mean-field
game (MFG) and self-organizing neural networks (NNs) has been developed for multiagent …
game (MFG) and self-organizing neural networks (NNs) has been developed for multiagent …
Decentralized adaptive optimal tracking control for massive autonomous vehicle systems with heterogeneous dynamics: A stackelberg game
In this article, a decentralized optimal tracking control problem has been studied for a large-
scale autonomous vehicle system with heterogeneous system dynamics. Due to the …
scale autonomous vehicle system with heterogeneous system dynamics. Due to the …
Learning cooperative strategies in multi-agent encirclement games with faster prey using prior knowledge
T Li, D Shi, Z Wang, H Yang, Y Chen, YY Shi - Neural Computing and …, 2024 - Springer
Multi-agent encirclement with collision avoidance constitutes a common challenge in the
multi-agent confrontation domain, wherein the focus lies in the development of cooperative …
multi-agent confrontation domain, wherein the focus lies in the development of cooperative …
FINNCH: Cooperative Pursuit Navigation for a Pursuer Team to Capture a Single Evader in Urban Environments
X Lou, M Sun, H Yang, S Yang - ISPRS International Journal of Geo …, 2023 - mdpi.com
The development of a cooperative pursuit strategy for capturing esca** criminals or
dangerous animals in urban public safety emergencies is becoming increasingly in demand …
dangerous animals in urban public safety emergencies is becoming increasingly in demand …
An Imbalanced Mean-Field Game Theoretical Large-Scale Multiagent Optimization With Constraints
A novel optimization algorithm has been developed for distributed large-scale multiagent
systems (LS-MASs), specifically focusing on achieving a terminal density constraint. While …
systems (LS-MASs), specifically focusing on achieving a terminal density constraint. While …
A Distributed Multi-Robot Collaborative Hunting Method in Dynamic Cluttered Environments
C Wang, J Li, M Zhou, L Zhang - 2024 18th International …, 2024 - ieeexplore.ieee.org
The paper proposes a distributed multi-robot cooperative hunting method in cluttered
environments with guaranteed collision avoidance. First, to achieve collision avoidance, a …
environments with guaranteed collision avoidance. First, to achieve collision avoidance, a …