Machine Learning Techniques
Reinforcement Learning
A Tutorial for Reinforcement Learning Reinforcement Learning: A Tutorial Tutorial: Deep Reinforcement Learning Simple Beginner’s guide to Reinforcement Learning & its implementation GA-based reinforcement learning for neural networks
Efficient Reinforcement Learning using Gaussian Processes
Marc Peter Deisenroth
GA Publications
A Genetic Cascade-Correlation Learning Algorithm GA-based reinforcement learning for neural networks Genetic Algorithms and Machine Learning A Cumulative Multi-Niching Genetic Algorithm for Multimodal Function Optimization Genetic Algorithms for Evolving Deep Neural Networks
ANN
GA-based reinforcement learning for neural networks Genetic Reinforcement Learning Neurocontrol Problems Genetic Algorithms and Neural Networks Genetic algorithms and neural networks: optimizing connections and connectivity Combining Genetic Algorithms and Neural Networks: The Encoding Problem – PhD Thesis – Philipp Koehn Genetic cascade learning for neural networks Evolving Optimal Neural Networks Using Genetic Algorithms with Occam’s … Read more
EVALUATION OF GAUSSIAN PROCESSES AND OTHER METHODS FOR NON-LINEAR REGRESSION
Carl Edward Rasmussen
Publications
Numerical studies of the metamodel fitting and validation processesMETAMODELS FOR COMPUTER-BASED ENGINEERING DESIGN: SURVEY AND RECOMMENDATIONS Surrogate Modeling for Uncertainty Assessment with Application to Aviation Environmental System Models Sensitivity analysis with dependence and variance-based measures for spatio-temporal numerical simulators Numerical studies of the metamodel fitting and validation processes A Framework for Evaluating Meta-models for Simulation-based … Read more