Gaussian Process
Efficient Reinforcement Learning using Gaussian Processes
Marc Peter Deisenroth
EVALUATION OF GAUSSIAN PROCESSES AND OTHER METHODS FOR NON-LINEAR REGRESSION
Carl Edward Rasmussen
UNCERTAINTY ANALYSIS FOR COMPUTER SIMULATIONS THROUGH VALIDATION AND CALIBRATION
John Milburn McFarland
Gaussian Process & Genetic Algorithm
Optimization of Gaussian Process Models with Evolutionary Algorithms A genetic Gaussian process regression model based on memetic algorithm Accelerating Evolutionary Algorithms with Gaussian Process Fitness Function Models The Use of Genetic Algorithms for Searching Parameter Space in Gaussian Process Modeling GPfit: An R package for Gaussian Process Model Fitting using a New Optimization Algorithm A COMPARISON BETWEEN GAUSSIAN PROCESS EMULATION … Read more
Deep Learning for Reinforcement Learning in Pacman
Bachelor-Thesis von Aaron Hochländer aus Wiesbaden