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About the Book

Reinforcement Learning (RL) is an exciting new field of machine learning, in which bots learn by playing games.

It is different from traditional machine learning (supervised or unsupervised) in that there are no training samples with expected outputs.

In this book, we'll learn RL by programming bots that can play games. We will go over basic Q learning techniques, as well as Deep Reinforcement Learning, that uses Neural Networks.

My book Build Your Own Neural Network is a per-requisite.


About the Author

Shantnu Tiwari’s avatar Shantnu Tiwari

Shantnu trained as an Electronics Engineer, and spent several years working with low level code, including DSPs,  embedded systems and embedded Linux.

  Soon, he grew disillusioned by fixing dangling pointers, memory leaks, race conditions, bugs which only appeared once every two weeks.

In desperation, Shantnu threw up his hands and said, “Lord! Is there more than life to this?”

And that night, SpongBob SquarePants appeared in his dream. “My son,” he said, “try Python. It will fix all your problems.”

And Shantnu did, and lo! All was well.

And now, Shantnu is sharing the love…

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