Up and Running with Reinforcement Learning

What will artificial intelligence (AI) look like in the future? As  applications of AI algorithms and software become more prominent, it is a question that should interest many. Researchers and practitioners of AI face further relevant questions; how will we realize what we envision and solve known problems? What kinds of innovations and algorithms are yet to be developed? Several subfields in machine learning display great promise toward answering many of our questions. In this book, we shine the spotlight on reinforcement learning, one such, area and perhaps one of the most exciting topics in machine learning.

Reinforcement learning is motivated by the objective to learn from the environment by ...

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