Reinforcement Learning

Introduction
Courses
Articles
Notes

computer vision

Active Contours Clustering Color Edge Detection Histogram of Oriented Gradients Hough Transform Image Features Image Segmentation Linear Filters Object Detection Patch Extraction Sampling and Aliasing Scale Invariant Feature Transforms Segmentation via Clustering

gpu programming

CUDA Architecture CUDA Memory Architecture GPU Pattern: Convolution Heterogeneous Data Parallel Computing Introduction to GPGPU Programming Multidimensional Grids and Data

machine learning

Boosting Convolutional Neural Networks Decision Trees Gradient Boosting Kernels Linear Discriminant Analysis Linear Regression Logistic Regression Markov Decision Processes Naive Bayes Neural Networks Perceptron Positional Encoding Probability Theory Regularization Reinforcement Learning Sequential Minimal Optimization Support Vector Machine

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//Notes tagged with Reinforcement Learning

Markov Decision Processes

Reinforcement Learning

Policy Gradient Methods

Reinforcement Learning