Humans learn best from feedback—we are encouraged to take actions that lead to positive results while deterred by decisions with negative consequences. This reinforcement process can be applied to computer programs allowing them to solve more complex problems that classical programming cannot. Deep Reinforcement Learning in Action teaches you the fundamental concepts and terminology of deep reinforcement learning, along with the practical skills and techniques you’ll need to implement it into your own projects.
I was curious about deep reinforcement learning for a while, but couldn't find anything that wasn't overloaded with math or just too simplistic. Your book is just what I was looking for!
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A very great book that takes you through deep reinforcement learning with interesting use cases and applications from the ground up.
Great introduction to the concepts of deep reinforcement learning in an easy to read package.
Great overview of deep learning while exposing under the hood implementation via PyTorch and actually tuning it. Also great theory and gentle math to make it stick.
A thorough introduction to Reinforcement Learning with an innovative approach to explain the math behind it.