{"product_id":"deep-reinforcement-learning-hands-on-book-oleg-vasilev-9781788834247","title":"Deep Reinforcement Learning Hands-On","description":"Publisher\\'s Note: This edition from 2018 is outdated and not compatible with any of the most recent updates to Python libraries. A new third edition, updated for 2020 with six new chapters that include multi-agent methods, discrete optimization, RL in robotics, and advanced exploration techniques is now available.\n\nKey Features\n\nExplore deep reinforcement learning (RL), from the first principles to the latest algorithms\nEvaluate high-profile RL methods, including value iteration, deep Q-networks, policy gradients, TRPO, PPO, DDPG, D4PG, evolution strategies and genetic algorithms\nKeep up with the very latest industry developments, including AI-driven chatbots\n\nBook DescriptionDeep Reinforcement Learning Hands-On is a comprehensive guide to the very latest DL tools and their limitations. You will evaluate methods including Cross-entropy and policy gradients, before applying them to real-world environments. Take on both the Atari set of virtual games and family favorites such as Connect4.\n\nThe book provides an introduction to the basics of RL, giving you the know-how to code intelligent learning agents to take on a formidable array of practical tasks. Discover how to implement Q-learning on 'grid world' environments, teach your agent to buy and trade stocks, and find out how natural language models are driving the boom in chatbots.What you will learn\n\nUnderstand the DL context of RL and implement complex DL models\nLearn the foundation of RL: Markov decision processes\nEvaluate RL methods including Cross-entropy, DQN, Actor-Critic, TRPO, PPO, DDPG, D4PG and others\nDiscover how to deal with discrete and continuous action spaces in various environments\nDefeat Atari arcade games using the value iteration method\nCreate your own OpenAI Gym environment to train a stock trading agent\nTeach your agent to play Connect4 using AlphaGo Zero\nExplore the very latest deep RL research on topics including AI-driven chatbots\n\nWho this book is forSome fluency in Python is assumed. Basic deep learning (DL) approaches should be familiar to readers and some practical experience in DL will be helpful. This book is an introduction to deep reinforcement learning (RL) and requires no background in RL.","brand":"WoB","offers":[{"title":"GB \/ VERY_GOOD \/ INTERNAL","offer_id":50174175641873,"sku":"GOR010907153","price":6.9,"currency_code":"GBP","in_stock":true},{"title":"GB \/ GOOD \/ INTERNAL","offer_id":50577854923025,"sku":"GOR014003927","price":15.7,"currency_code":"GBP","in_stock":false},{"title":"US \/ GOOD \/ SBYB","offer_id":50897776410897,"sku":"CIN1788834240G","price":0.0,"currency_code":"GBP","in_stock":false},{"title":"US \/ NEW \/ INGRAM","offer_id":51051925602577,"sku":"NIN9781788834247","price":0.0,"currency_code":"GBP","in_stock":false},{"title":"GB \/ LIKE_NEW \/ INTERNAL","offer_id":52153056100625,"sku":"GOR010935822","price":20.1,"currency_code":"GBP","in_stock":false},{"title":"GB \/ NEW \/ INGRAM","offer_id":52542610800913,"sku":"NLS9781788834247","price":40.29,"currency_code":"GBP","in_stock":true},{"title":"US \/ VERY_GOOD \/ SBYB","offer_id":52739406987537,"sku":"CIN1788834240VG","price":0.0,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0784\/4072\/6801\/files\/1788834240.jpg?v=1751377938","url":"https:\/\/www.worldofbooks.com\/en-gb\/products\/deep-reinforcement-learning-hands-on-book-oleg-vasilev-9781788834247","provider":"World of Books ","version":"1.0","type":"link"}