Bayesian sequential optimal experimental design for nonlinear models using policy gradient reinforcement learning
Wanggang Shen, Xun Huan
Topics & Concepts
Reinforcement learningMarkov decision processMathematical optimizationNonlinear systemGaussian processComputer sciencePartially observable Markov decision processHeuristicBayesian probabilityBenchmark (surveying)Parameterized complexityContext (archaeology)GaussianMarkov processMathematicsArtificial intelligenceAlgorithmGeodesyBiologyStatisticsQuantum mechanicsPaleontologyGeographyPhysicsAdvanced Multi-Objective Optimization AlgorithmsProbabilistic and Robust Engineering DesignOptimal Experimental Design Methods