Multi-USV task planning method based on improved deep reinforcement learning
J Zhang, J Ren, Y Cui, D Fu… - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
A safe and reliable task planning method is a prerequisite for the collaborative execution of
ocean observation data collection tasks by multiple unmanned surface vessels (multi-USVs) …
ocean observation data collection tasks by multiple unmanned surface vessels (multi-USVs) …
A multi-agent flocking collaborative control method for stochastic dynamic environment via graph attention autoencoder based reinforcement learning
J Xiao, G Yuan, Z Wang - Neurocomputing, 2023 - Elsevier
The environmental adaptability of the multi-agent flocking collaborative control system is
vital to practical applications. Focusing on the adaptive problem of multi-agent flocking …
vital to practical applications. Focusing on the adaptive problem of multi-agent flocking …
A Model Learning Based Multiagent Flocking Collaborative Control Method for Stochastic Communication Environment
J Xiao, C Huang, G Yuan, Y Wang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Improving the performance of flocking control policies in practical scenarios is of great value
in promoting the practical application of multiagent flocking collaborative control algorithms …
in promoting the practical application of multiagent flocking collaborative control algorithms …
Multi-AUV Pursuit-Evasion Game in The Internet of Underwater Things: An Efficient Training Framework via Offline Reinforcement Learning
In this paper, we investigate the pursuit-evasion game of multiple autonomous underwater
vehicles (AUVs) in a complex ocean environment. The pursuer AUVs need to optimize their …
vehicles (AUVs) in a complex ocean environment. The pursuer AUVs need to optimize their …
Informative Trajectory Planning for Air-Ground Cooperative Monitoring of Spatiotemporal Fields
This paper investigates an air-ground cooperative monitoring problem for spatiotemporal
fields, such as air pollution, forest fires, oil spills, etc, with unmanned aerial vehicles (UAVs) …
fields, such as air pollution, forest fires, oil spills, etc, with unmanned aerial vehicles (UAVs) …
Dynamic Multi-Target Self-Organization Hunting Control of Multi-Agent Systems
S He, L Wang, M Liu, W Liu, Z Wu - Applied Sciences, 2024 - mdpi.com
In this paper, we present a novel coordinated method tailored to address the dynamic multi-
target hunting control problem in multi-agent systems, offering significant practical value. Our …
target hunting control problem in multi-agent systems, offering significant practical value. Our …
Promoting Cooperation in Multi-Agent Reinforcement Learning via Mutual Help
Multi-agent reinforcement learning (MARL) has achieved great progress in cooperative
tasks in recent years. However, in the local reward scheme, where only local rewards for …
tasks in recent years. However, in the local reward scheme, where only local rewards for …