A Fault-Tolerant Multi-Agent Reinforcement Learning Framework for Unmanned Aerial Vehicles–Unmanned Ground Vehicle Coverage Path Planning

Research article (Drones, 2024) · cited 24× · AI/ML
Press Enter · cited answer in seconds

A Fault-Tolerant Multi-Agent Reinforcement Learning Framework for Unmanned Aerial Vehicles–Unmanned Ground Vehicle Coverage Path Planning

Summary

A Fault-Tolerant Multi-Agent Reinforcement Learning Framework for Unmanned Aerial Vehicles–Unmanned Ground Vehicle Coverage Path Planning is a scholarly article[1].

Key Facts

  • A Fault-Tolerant Multi-Agent Reinforcement Learning Framework for Unmanned Aerial Vehicles–Unmanned Ground Vehicle Coverage Path Planning's instance of is recorded as scholarly article[2].

📑 Cite this page

Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). A Fault-Tolerant Multi-Agent Reinforcement Learning Framework for Unmanned Aerial Vehicles–Unmanned Ground Vehicle Coverage Path Planning. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-fault-tolerant-multi-agent-reinforcement-learning-framework-for-unmanned-aerial-vehiclesunmanned-ground-vehicle-covera
MLA “A Fault-Tolerant Multi-Agent Reinforcement Learning Framework for Unmanned Aerial Vehicles–Unmanned Ground Vehicle Coverage Path Planning.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-fault-tolerant-multi-agent-reinforcement-learning-framework-for-unmanned-aerial-vehiclesunmanned-ground-vehicle-covera.
BibTeX @misc{4ortxyz_a-fault-tolerant-multi-agent-reinforcement-learning-framework-for-unmanned-aerial-vehiclesunmanned-ground-vehicle-covera_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A Fault-Tolerant Multi-Agent Reinforcement Learning Framework for Unmanned Aerial Vehicles–Unmanned Ground Vehicle Coverage Path Planning}}, year = {2026}, url = {https://4ort.xyz/entity/a-fault-tolerant-multi-agent-reinforcement-learning-framework-for-unmanned-aerial-vehiclesunmanned-ground-vehicle-covera}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A Fault-Tolerant Multi-Agent Reinforcement Learning Framework for Unmanned Aerial Vehicles–Unmanned Ground Vehicle Coverage Path Planning — https://4ort.xyz/entity/a-fault-tolerant-multi-agent-reinforcement-learning-framework-for-unmanned-aerial-vehiclesunmanned-ground-vehicle-covera (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/a-fault-tolerant-multi-agent-reinforcement-learning-framework-for-unmanned-aerial-vehiclesunmanned-ground-vehicle-covera · Last refreshed: