Название: Deep Reinforcement Learning in Action (MEAP) Автор: Alexander Zai and Brandon Brown Издательство: Manning Publications Год: 2020 Формат: true pdf/epub Страниц: 351 Размер: 12.2 Mb Язык: English
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
Deep Reinforcement Learning for Wireless Networks Название: Deep Reinforcement Learning for Wireless Networks Автор: F. Richard Yu, Ying He Издательство: Springer Год: 2019 Язык: английский Формат:...
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Deep Reinforcement Learning in Action (MEAP) 
