Demo Abstract: CARL: Collaborative Altitude-Adaptive Reinforcement Learning for Active Search with UAV Swarms
Author:
Affiliation:
1. Tsinghua University,Shenzhen International Graduate School (SIGS),Shenzhen,China
2. Tsinghua University Pengcheng Laboratory RISC-V International Open Source Laboratory,Shenzhen International Graduate School,Shenzhen,China
Funder
Innovation Fund
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10577285/10577292/10577379.pdf?arnumber=10577379
Reference6 articles.
1. DeliverSense: Efficient Delivery Drone Scheduling for Crowdsensing with Deep Reinforcement Learning
2. Multi-Agent Active Search using Realistic Depth-Aware Noise Model
3. Obstacle-aware Adaptive Informative Path Planning for UAV-based Target Search
4. Scheduling UAV Swarm with Attention-based Graph Reinforcement Learning for Ground-to-air Heterogeneous Data Communication
5. H-SwarmLoc
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