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Found 4 papers, 3 papers with code
Deep Reinforcement Learning with Dynamic Graphs for Adaptive Informative Path Planning
To address these issues, we propose a novel deep reinforcement learning approach for adaptively replanning robot paths to map targets of interest in unknown 3D environments.
Semi-Supervised Active Learning for Semantic Segmentation in Unknown Environments Using Informative Path Planning
We propose a planning method for semi-supervised active learning of semantic segmentation that substantially reduces human labelling requirements compared to fully supervised approaches.
An Informative Path Planning Framework for Active Learning in UAV-based Semantic Mapping
Our framework combines the mapped acquisition function information into the UAV's planning objectives.
Adaptive Informative Path Planning Using Deep Reinforcement Learning for UAV-based Active Sensing
Aerial robots are increasingly being utilized for environmental monitoring and exploration.
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