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
Marc Peter Deisenroth
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
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
Professor School of Computer Science and Engineering & Cognitive Science, Brain Science, and Bioinformatics Seoul National University
Research Gate Efficient and Robust Gradient Enhanced Kriging Emulators Using Statistical and Computer Models to Quantify Volcanic Hazards UQ12 – MS1-3 Effective and Efficient Handling of Ill-Conditioned Correlation Matrices in Kriging and Gradient Enhanced Kriging Emulators through Pivoted Cholesky Factorization – link slides – (link video) Effective & Efficient Handling of Ill – Conditioned Correlation … Read more
Automatic Model Construction with Gaussian Processes- PhD Thesis Assistant professor at the University of Toronto Github : code & PhD Thesis
Thang Bui, 4th year PhD student Machine Learning Group Computational and Biological Learning Lab University of Cambridge
Professor in the Machine Learning Group of the Computational and Biological Learning Lab in the Division of Information Engineering at the Department of Engineering in Cambridge Computational and Biological Engineering – Cambridge