Reinforcement Learning Fundamentals

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Reinforcement Learning (RL) is one of the most ambitious fields of Machine Learning (ML) today. It has attracted a lot of publicity in the last decade, especially after its major 2017 success with AlphaGo defeating Lee Sedol in the game of Go.
Apart from games, what are the other applications of RL? How does it work and what differentiates it from the rest of the ML approaches? From designing reward and state signals to the exploration/exploitation problem and the basic RL algorithms we will try to gain an intuitive understanding of the fundamental aspects of RL and we will also take a quick look at how we can represent and solve RL problems.

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