Knowledge-Guided Reinforcement Learning with Artificial Potential Field-Based Demonstrations for Multi-Autonomous Underwater Vehicle Cooperative Hunting
Multi-AUV cooperative hunting requires autonomous underwater vehicles (AUVs) to strategize the encirclement of evaders while navigating around obstacles and other AUVs. Despite the promise of multi-agent reinforcement learning (MARL) in continuous control problems, its low sample efficiency poses a...
Saved in:
| Main Authors: | Yang Wang, Weiye Wang, Deshan Chen |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-02-01
|
| Series: | Journal of Marine Science and Engineering |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2077-1312/13/3/423 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Logic-optimization behavior tree algorithm for enhanced autonomous underwater vehicle cooperative decision-making
by: Dan Yu, et al.
Published: (2025-08-01) -
Control and Real-Time Monitoring of Autonomous Underwater Vehicle Through Underwater Wireless Optical Communication
by: Dongwook Jung, et al.
Published: (2025-05-01) -
Territorial hunting management: problems of strategic planning and law regulation
by: I. A. Grebnev
Published: (2022-04-01) -
Three-Phase High Power Underwater Capacitive Wireless Power Transfer System for Autonomous Underwater Vehicles
by: Lei Yang, et al.
Published: (2025-05-01) -
Interchangeability of hunts as a factor of sustainability of hunting use
by: S. P. Matveytchuk, et al.
Published: (2023-04-01)