Learning Blackjack using reinforcement learning

Žiga Franko Gorišek (2018) Learning Blackjack using reinforcement learning. EngD thesis.

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Abstract

Through the study process, I gained a lot of knowledge and interests in fields such as algorithms, optimization, betting, finance and artificial intelligence. So I developed a desire to specialize in Deep Learning. I wanted to achieve a level of knowledge and understanding of how to use the learned specialization with the latest machine learning technologies. I was also extremely impressed by the story about MIT students who discovered and used the Black jack hole from which they opened a profitable game. So I decided to make a system that learns how to discover the legitimacy of the Black jack game, to learn DQN techniques and try to improve the basis of their system with it.

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