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The topic of this book is Reinforcement Learning—which is a subfield of Machine Learning—focusing on the general and challenging problem of learning optimal behavior in complex environment. The learning process is driven only by reward value and obs
In Reinforcement Learning, Richard Sutton and Andrew Barto provide a clear and simple account of the key ideas and algorithms of reinforcement learning. Their discussion ranges from the history of the field's intellectual foundations to the most rec
This book is primarily based on a Machine Learning subset known as Reinforcement Learning. We cover the basics of Reinforcement Learning with the help of the Python programming language and touch on several aspects, such as Q learning, MDP, RL with
Contextual bandit learning is a reinforcement learning problemwhere the learner repeatedly receives a set of features (context), takes an action and receives a reward based on the action and context
