{"product_id":"deep-reinforcement-learning-hands-on-second-edition-apply-modern-rl-methods-to-practical-problems-of-chatbots-robotics-discrete-optimization-web-paperback","title":"Deep Reinforcement Learning Hands-On - Second Edition: Apply modern RL methods to practical problems of chatbots, robotics, discrete optimization, web - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eMaxim Lapan\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eNew edition of the bestselling guide to deep reinforcement learning and how it's used to solve complex real-world problems. Revised and expanded to include multi-agent methods, discrete optimization, RL in robotics, advanced exploration techniques, and more\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eKey Features: \u003c\/strong\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eSecond edition of the bestselling introduction to deep reinforcement learning, expanded with six new chapters\u003c\/li\u003e\n\u003cli\u003eLearn advanced exploration techniques including noisy networks, pseudo-count, and network distillation methods\u003c\/li\u003e\n\u003cli\u003eApply RL methods to cheap hardware robotics platforms\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eBook Description\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003eDeep Reinforcement Learning Hands-On, Second Edition is an updated and expanded version of the bestselling guide to the very latest reinforcement learning (RL) tools and techniques. It provides you with an introduction to the fundamentals of RL, along with the hands-on ability to code intelligent learning agents to perform a range of practical tasks.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eWith six new chapters devoted to a variety of up-to-the-minute developments in RL, including discrete optimization (solving the Rubik's Cube), multi-agent methods, Microsoft's TextWorld environment, advanced exploration techniques, and more, you will come away from this book with a deep understanding of the latest innovations in this emerging field.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eIn addition, you will gain actionable insights into such topic areas as deep Q-networks, policy gradient methods, continuous control problems, and highly scalable, non-gradient methods. You will also discover how to build a real hardware robot trained with RL for less than $100 and solve the Pong environment in just 30 minutes of training using step-by-step code optimization.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eIn short, Deep Reinforcement Learning Hands-On, Second Edition, is your companion to navigating the exciting complexities of RL as it helps you attain experience and knowledge through real-world examples.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWhat you will learn: \u003c\/strong\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eUnderstand the deep learning context of RL and implement complex deep learning models\u003c\/li\u003e\n\u003cli\u003eEvaluate RL methods including cross-entropy, DQN, actor-critic, TRPO, PPO, DDPG, D4PG, and others\u003c\/li\u003e\n\u003cli\u003eBuild a practical hardware robot trained with RL methods for less than $100\u003c\/li\u003e\n\u003cli\u003eDiscover Microsoft's TextWorld environment, which is an interactive fiction games platform\u003c\/li\u003e\n\u003cli\u003eUse discrete optimization in RL to solve a Rubik's Cube\u003c\/li\u003e\n\u003cli\u003eTeach your agent to play Connect 4 using AlphaGo Zero\u003c\/li\u003e\n\u003cli\u003eExplore the very latest deep RL research on topics including AI chatbots\u003c\/li\u003e\n\u003cli\u003eDiscover advanced exploration techniques, including noisy networks and network distillation techniques\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cstrong\u003eWho this book is for: \u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003eSome fluency in Python is assumed. Sound understanding of the fundamentals of deep learning will be helpful. This book is an introduction to deep RL and requires no background in RL\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 826\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 1.64 x 9.25 x 7.5 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e January 31, 2020\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":52493456605491,"sku":"9781838826994","price":127.94,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0300\/5595\/6612\/files\/Q1FFejR0S2FmVkhCNzd0QWlZUks1dz09.webp?v=1759953534","url":"https:\/\/www.vysn.com\/en-ca\/products\/deep-reinforcement-learning-hands-on-second-edition-apply-modern-rl-methods-to-practical-problems-of-chatbots-robotics-discrete-optimization-web-paperback","provider":"VYSN","version":"1.0","type":"link"}