multi-agent reinforcement learning 2cross-scenario generalisation 1curriculum learning 1decentralized control 1demonstration learning 1indoor uav guidance 1safety-aware training 1soft actor-critic 1uav navigation 1voxel map representation 1
From the 2 of 4 linked papers with an AI index.
Showing cs.ROShow all
3 papers · 1 filter
cs.RO2026
Cooperative Multi-UAV Navigation in Complex Environments via Systematic Multi-Agent Deep Reinforcement Learning
Yu Su, Nabil Aouf
The paper presents a multi-agent deep reinforcement learning framework for cooperative UAV navigation in complex environments, incorporating coordinated exploration, hierarchical d…
cs.RO2026
Shared Voxel-Map-Based Cooperative Indoor UAV Guidance with a Multi-Agent Soft Actor-Critic Controller
Thomas Hickling, Dylan Wynne, Yu Su +1
The paper introduces a cooperative indoor UAV navigation system where multiple drones share a voxel‑based occupancy map and use a multi‑agent Soft Actor‑Critic controller to naviga…
cs.RO2026
Deep Reinforcement Learning based Autonomous Decision-Making for Cooperative UAVs: A Search and Rescue Real World Application
Thomas Hickling, Maxwell Hogan, Abdulla Tammam +1
This paper presents the first end-to-end framework that combines guidance, navigation, and centralised task allocation for multiple UAVs performing autonomous search-and-rescue (SA…