{"product_id":"reinforcement-learning-teaching-ai-to-make-decisions-paperback","title":"Reinforcement Learning: Teaching AI to Make Decisions - Paperback","description":"\u003cp\u003eby \u003cb\u003eGilbert Gutiérrez\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003cb\u003eMaster Reinforcement Learning and Build AI That Thinks for Itself!\u003c\/b\u003e \u003c\/p\u003e\u003cp\u003e\u003c\/p\u003eReinforcement Learning (RL) is one of the most exciting fields in Artificial Intelligence, enabling machines to learn from experience, make decisions, and optimize outcomes through trial and error. From self-driving cars and robotics to game-playing AI and financial strategies, RL is transforming industries and shaping the future of AI. \u003cp\u003e\u003c\/p\u003e\u003cb\u003eReinforcement Learning: Teaching AI to Make Decisions\u003c\/b\u003e is the 11th book in the \"\u003ci\u003eAI from Scratch\u003c\/i\u003e\" series, designed to take you from beginner to expert with a structured, step-by-step approach. Whether you're an AI enthusiast, data scientist, software engineer, or researcher, this book will help you understand RL fundamentals, implement deep reinforcement learning models, and apply RL to real-world problems. \u003cp\u003e\u003c\/p\u003e\u003cb\u003eWhat You'll Learn in This Book\u003c\/b\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cb\u003eIntroduction to Reinforcement Learning\u003c\/b\u003e - Understand the core concepts, including agents, rewards, states, actions, and environments.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eKey RL Algorithms\u003c\/b\u003e - Master foundational techniques like Q-Learning, Monte Carlo methods, and Temporal Difference (TD) Learning.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eDeep Reinforcement Learning\u003c\/b\u003e - Learn how neural networks enhance RL, explore Deep Q-Networks (DQN), Policy Gradients, Proximal Policy Optimization (PPO), and Soft Actor-Critic (SAC).\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eHands-on Implementation\u003c\/b\u003e - Build and train RL models using Python, TensorFlow, PyTorch, OpenAI Gym, and Stable-Baselines3.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eReal-World Applications\u003c\/b\u003e - Apply RL in robotics, gaming (Atari, Chess, Go), finance, self-driving cars, and industrial automation.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eChallenges \u0026amp; Future of RL\u003c\/b\u003e - Explore reward hacking, sample inefficiency, ethical AI, and the role of RL in Artificial General Intelligence (AGI).\u003c\/li\u003e\n\u003c\/ul\u003e\u003cbr\u003e\u003cb\u003eWho Is This Book For?\u003c\/b\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cb\u003eBeginners \u0026amp; AI Enthusiasts\u003c\/b\u003e - Learn RL from scratch with clear explanations and practical projects.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eMachine Learning Engineers \u0026amp; Data Scientists\u003c\/b\u003e - Advance your AI skills with deep RL techniques and industry applications.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eResearchers \u0026amp; Academics\u003c\/b\u003e - Gain insights into state-of-the-art RL models and emerging trends.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eSoftware Developers \u0026amp; AI Practitioners\u003c\/b\u003e - Build real-world AI solutions using reinforcement learning.\u003c\/li\u003e\n\u003c\/ul\u003e\u003cbr\u003eWhy This Book?\u003cul\u003e\n\u003cli\u003eStep-by-step tutorials with hands-on coding exercises.\u003c\/li\u003e\n\u003cli\u003eMathematical foundations explained intuitively.\u003c\/li\u003e\n\u003cli\u003eReal-world case studies from DeepMind, OpenAI, Tesla, and Google.\u003c\/li\u003e\n\u003cli\u003ePractical projects \u0026amp; exercises to reinforce learning.\u003c\/li\u003e\n\u003cli\u003eFuture trends \u0026amp; challenges in RL explored in depth.\u003c\/li\u003e\n\u003c\/ul\u003e\u003cbr\u003eWhether you're training an AI agent to play games, optimize business processes, or control robots, this book equips you with the knowledge and tools to implement reinforcement learning from scratch and push the boundaries of AI innovation. \u003cp\u003e\u003c\/p\u003e\u003ci\u003eStart your RL journey today and build AI that learns, adapts, and makes smarter decisions!\u003c\/i\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 290\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.61 x 11 x 8.5 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e February 11, 2025\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":67981551075635,"sku":"9798310414112","price":47.48,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0300\/5595\/6612\/files\/155cTya5gy9798310414112.webp?v=1794559919","url":"https:\/\/www.vysn.com\/products\/reinforcement-learning-teaching-ai-to-make-decisions-paperback","provider":"VYSN","version":"1.0","type":"link"}