A review of safe reinforcement learning: Methods, theory and applications
[HTML][HTML] Fault-tolerant cooperative navigation of networked UAV swarms for forest fire monitoring
Coordination of unmanned aerial vehicle (UAV) swarms has received significant attention
due to its wide practical applications including search and rescue, cooperative exploration …
due to its wide practical applications including search and rescue, cooperative exploration …
A comprehensive review of coverage path planning in robotics using classical and heuristic algorithms
The small battery capacities of the mobile robot and the un-optimized planning efficiency of
the industrial robot bottlenecked the time efficiency and productivity rate of coverage tasks in …
the industrial robot bottlenecked the time efficiency and productivity rate of coverage tasks in …
Multi-agent deep reinforcement learning for multi-robot applications: A survey
J Orr, A Dutta - Sensors, 2023 - mdpi.com
Deep reinforcement learning has produced many success stories in recent years. Some
example fields in which these successes have taken place include mathematics, games …
example fields in which these successes have taken place include mathematics, games …
A metaverse-based teaching building evacuation training system with deep reinforcement learning
With the development of IoT, virtual reality, cloud computing, and digital twin technologies,
the advent of metaverse has attracted increasing world attention. Metaverse integrates and …
the advent of metaverse has attracted increasing world attention. Metaverse integrates and …
[HTML][HTML] Advances of machine learning in multi-energy district communities‒mechanisms, applications and perspectives
Y Zhou - Energy and AI, 2022 - Elsevier
Energy paradigm transition towards the carbon neutrality requires combined and continuous
efforts in cleaner power production, advanced energy storages, flexible district energy …
efforts in cleaner power production, advanced energy storages, flexible district energy …
Reinforcement learning for mobile robotics exploration: A survey
Efficient exploration of unknown environments is a fundamental precondition for modern
autonomous mobile robot applications. Aiming to design robust and effective robotic …
autonomous mobile robot applications. Aiming to design robust and effective robotic …
A decentralized cluster formation containment framework for multirobot systems
Cooperative control of multirobot systems (MRSs) has earned significant research interest
over the past two decades due to its potential applications in multidisciplinary engineering …
over the past two decades due to its potential applications in multidisciplinary engineering …
Towards accurate and reliable resolution of structural variants for clinical diagnosis
Structural variants (SVs) are a major source of human genetic diversity and have been
associated with different diseases and phenotypes. The detection of SVs is difficult, and a …
associated with different diseases and phenotypes. The detection of SVs is difficult, and a …