{"product_id":"hands-on-reinforcement-learning-with-python-master-reinforcement-and-deep-reinforcement-learning-using-openai-gym-and-tensorflow-paperback","title":"Hands-On Reinforcement Learning with Python: Master reinforcement and deep reinforcement learning using OpenAI Gym and TensorFlow - 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\u003eSudharsan Ravichandiran\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eA hands-on guide enriched with examples to master deep reinforcement learning algorithms with Python\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\u003eYour entry point into the world of artificial intelligence using the power of Python\u003c\/li\u003e\n\u003cli\u003eAn example-rich guide to master various RL and DRL algorithms\u003c\/li\u003e\n\u003cli\u003eExplore various state-of-the-art architectures along with math\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\u003eReinforcement Learning (RL) is the trending and most promising branch of artificial intelligence. Hands-On Reinforcement learning with Python will help you master not only the basic reinforcement learning algorithms but also the advanced deep reinforcement learning algorithms.\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eThe book starts with an introduction to Reinforcement Learning followed by OpenAI Gym, and TensorFlow. You will then explore various RL algorithms and concepts, such as Markov Decision Process, Monte Carlo methods, and dynamic programming, including value and policy iteration. This example-rich guide will introduce you to deep reinforcement learning algorithms, such as Dueling DQN, DRQN, A3C, PPO, and TRPO. You will also learn about imagination-augmented agents, learning from human preference, DQfD, HER, and many more of the recent advancements in reinforcement learning.\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eBy the end of the book, you will have all the knowledge and experience needed to implement reinforcement learning and deep reinforcement learning in your projects, and you will be all set to enter the world of artificial intelligence.\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWhat You Will Learn: \u003c\/strong\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eUnderstand the basics of reinforcement learning methods, algorithms, and elements\u003c\/li\u003e\n\u003cli\u003eTrain an agent to walk using OpenAI Gym and Tensorflow\u003c\/li\u003e\n\u003cli\u003eUnderstand the Markov Decision Process, Bellman's optimality, and TD learning\u003c\/li\u003e\n\u003cli\u003eSolve multi-armed-bandit problems using various algorithms\u003c\/li\u003e\n\u003cli\u003eMaster deep learning algorithms, such as RNN, LSTM, and CNN with applications\u003c\/li\u003e\n\u003cli\u003eBuild intelligent agents using the DRQN algorithm to play the Doom game\u003c\/li\u003e\n\u003cli\u003eTeach agents to play the Lunar Lander game using DDPG\u003c\/li\u003e\n\u003cli\u003eTrain an agent to win a car racing game using dueling DQN\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWho this book is for: \u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003eIf you're a machine learning developer or deep learning enthusiast interested in artificial intelligence and want to learn about reinforcement learning from scratch, this book is for you. Some knowledge of linear algebra, calculus, and the Python programming language will help you understand the concepts covered in this book.\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 318\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.67 x 9.25 x 7.5 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e June 29, 2018\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":52492857213235,"sku":"9781788836524","price":66.02,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0300\/5595\/6612\/files\/RG1tejEvd1loMU1VTzJ2ZDgxZWJ3QT09.webp?v=1759942792","url":"https:\/\/www.vysn.com\/en-ca\/products\/hands-on-reinforcement-learning-with-python-master-reinforcement-and-deep-reinforcement-learning-using-openai-gym-and-tensorflow-paperback","provider":"VYSN","version":"1.0","type":"link"}