research
∙
09/06/2023
Learning to Recharge: UAV Coverage Path Planning through Deep Reinforcement Learning
Coverage path planning (CPP) is a critical problem in robotics, where th...
share
research
∙
06/03/2023
Model-aided Federated Reinforcement Learning for Multi-UAV Trajectory Planning in IoT Networks
Deploying teams of cooperative unmanned aerial vehicles (UAVs) to harves...
research
∙
09/30/2021
Modeling Interactions of Autonomous Vehicles and Pedestrians with Deep Multi-Agent Reinforcement Learning for Collision Avoidance
Reliable pedestrian crash avoidance mitigation (PCAM) systems are crucia...
research
∙
04/21/2021
Model-aided Deep Reinforcement Learning for Sample-efficient UAV Trajectory Design in IoT Networks
Deep Reinforcement Learning (DRL) is gaining attention as a potential ap...
research
∙
10/23/2020
Multi-UAV Path Planning for Wireless Data Harvesting with Deep Reinforcement Learning
Harvesting data from distributed Internet of Things (IoT) devices with m...
research
∙
10/14/2020
UAV Path Planning using Global and Local Map Information with Deep Reinforcement Learning
Path planning methods for autonomous unmanned aerial vehicles (UAVs) are...
research
∙
07/01/2020
UAV Path Planning for Wireless Data Harvesting: A Deep Reinforcement Learning Approach
Autonomous deployment of unmanned aerial vehicles (UAVs) supporting next...
research
∙
03/05/2020
