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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...
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08/28/2023
Edge Generation Scheduling for DAG Tasks using Deep Reinforcement Learning
Directed acyclic graph (DAG) tasks are currently adopted in the real-tim...
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01/26/2023
Learning to Generate All Feasible Actions
Several machine learning (ML) applications are characterized by searchin...
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03/04/2022
Cloud-Edge Training Architecture for Sim-to-Real Deep Reinforcement Learning
Deep reinforcement learning (DRL) is a promising approach to solve compl...
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07/21/2021
Multi-Agent Belief Sharing through Autonomous Hierarchical Multi-Level Clustering
Coordination in multi-agent systems is challenging for agile robots such...
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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...
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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...
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07/01/2020
UAV Path Planning for Wireless Data Harvesting: A Deep Reinforcement Learning Approach
Autonomous deployment of unmanned aerial vehicles (UAVs) supporting next...
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03/05/2020
