Zai Alexander, Brown Brandon. Deep Reinforcement Learning in Action (MEAP)

Manning Publications, 2020. — 367 p. — ISBN: 978-1617295430.Deep Reinforcement Learning in Action teaches you how to program agents that learn and improve based on direct feedback from their environment. You’ll build networks with the popular PyTorch deep learning framework to explore reinforcement learning algorithms ranging from Deep Q-Networks to Policy Gradients methods to Evolutionary Algorithms. As you go, you’ll apply what you know to hands-on projects like controlling simulated robots, automating stock market trades, and even building a bot to play Go.what's inside
Structuring problems as Markov Decision Processes
Popular algorithms such Deep Q-Networks, Policy Gradient method and Evolutionary Algorithms and the intuitions that drive them
Applying reinforcement learning algorithms to real-world problems