Adaptive Informative Path Planning Using Deep Reinforcement Learning for UAV-based Active Sensing
Julius Rückin,Liren Jin,Marija Popović,Julius Rückin,Liren Jin,Marija Popović
Aerial robots are increasingly being utilized for environmental monitoring and exploration. However, a key challenge is efficiently planning paths to maximize the information value of acquired data as an initially unknown environment is explored. To address this, we propose a new approach for informative path planning based on deep reinforcement learning (RL). Combining recent advances in RL and r...
