Title
Adaptive Selection of Informative Path Planning Strategies via Reinforcement Learning
Abstract
In our previous work, we designed a systematic policy to prioritize sampling locations to lead significant accuracy improvement in spatial interpolation by using the prediction uncertainty of Gaussian Process Regression (GPR) as "attraction force" to deployed robots in path planning. Although the integration with Traveling Salesman Problem (TSP) solvers was also shown to produce relatively short t...
Year
DOI
Venue
2021
10.1109/ECMR50962.2021.9568796
2021 European Conference on Mobile Robots (ECMR)
DocType
ISBN
Citations 
Conference
978-1-6654-1213-1
0
PageRank 
References 
Authors
0.34
0
2
Name
Order
Citations
PageRank
Taeyeong Choi103.04
Grzegorz Cielniak231634.34