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By Kardi Teknomo, PhD.
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
Rate this tutorial and send your feedback
or questions or suggestions.
See Also:
Kardi Teknomo's Tutorial, K Nearest Neighbor, K Means clustering, Monte Carlo Simulation Tutorial
These tutorial is copyrighted.
Preferable reference for this tutorial is
Teknomo, Kardi. Learning Algorithm Tutorials. http:\\people.revoledu.com\kardi\
tutorial\Learning\
learning that make you able to learn beyond what people
taught, experience, and to become intellectual leaders
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