Building a Exploration Reinforcement Learning models Intro What is Exploration RL? No Papers Contents 1 A Tutorial Introduction to the Minimum Description Length Principle .. 2 Bayesian Neural Networks .. 3 Practical Variational Inference for Neural Networks .. 4 Weight Uncertainty in Neural Networks .. 5 Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning .. 6 Stein Variational Gradient Descent : A General Purpose Bayesian Inference Algorithm .. 7 Representing Inferential Uncertainty In Deep Neural Networks Through Sampling .. 8 .. .. 9 What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision? .. 10 .. .. Reference Building a Bayesian deep learning classifier uncertainty 와 Bayesian, 그리고 MC Dropout Bayesian Deep Learning