By Kardi Teknomo, PhD.

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This tutorial introduce you to the Monte Carlo game, adaptive machine learning using histogram and learning formula to acquire memory. This algorithm is useful for reward and punishment game, educational game programming, and simulation. Numerical example is given for hand calculation and characteristics of each algorithm is explained.

Monte Carlo Game without Learning

Adaptive Learning Game

Learning Histogram

Adaptive learning Numerical Example

Adaptive Learning with Memory

Behavior of Learning Formula

Reinforcement Learning Resources

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See Also :
Kardi Teknomo's Tutorial , K Nearest Neighbor , K Means clustering , Monte Carlo Simulation Tutorial

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Preferable reference for this tutorial is

Teknomo, Kardi (2015) Learning Algorithm Tutorials. http:\\\kardi\ tutorial\Learning\

learning that make you able to learn beyond what people taught, experience, and to become intellectual leaders