{"product_id":"reinforcement-learning-basics-teaching-machines-to-act-apply-rl-for-robotics-gaming-and-decision-making-systems-9798264361135","title":"Reinforcement Learning Basics Teaching Machines to Act: Apply RL for robotics, gaming, and decision-making systems","description":"\u003cp\u003e • Author(s): Isandro Myles\u003cbr\u003e • Publisher: Independently Published\u003cbr\u003e • Publisher Imprint: Independently Published\u003cbr\u003e • BISAC: Robotics\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eUnlock the power of Reinforcement Learning to make machines that learn by doing.\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eReinforcement Learning Basics\u003c\/b\u003e is your hands-on guide to building intelligent systems that \u003cb\u003elearn from experience\u003c\/b\u003e, adapt to dynamic environments, and make decisions autonomously. From \u003cb\u003erobotics and gaming\u003c\/b\u003e to real-world decision-making, this book equips beginners and intermediate developers with the skills to implement \u003cb\u003eRL algorithms\u003c\/b\u003e effectively using practical examples.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eInside, you'll learn how to: \u003c\/b\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003e\u003cp\u003e\u003cb\u003eUnderstand core RL concepts\u003c\/b\u003e: agents, environments, states, actions, rewards, and policies.\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eImplement \u003cb\u003eclassic RL algorithms\u003c\/b\u003e such as Q-Learning, SARSA, and Monte Carlo methods.\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eExplore \u003cb\u003edeep reinforcement learning\u003c\/b\u003e techniques with neural networks for complex environments.\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eApply \u003cb\u003epolicy gradient methods\u003c\/b\u003e and actor-critic models to optimize decision-making.\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eTrain \u003cb\u003eautonomous agents\u003c\/b\u003e in simulated environments using Python and popular RL libraries.\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eUtilize \u003cb\u003ereward shaping and exploration strategies\u003c\/b\u003e to accelerate learning.\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eIntegrate RL into \u003cb\u003erobotics applications\u003c\/b\u003e for navigation, manipulation, and adaptive control.\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eDevelop \u003cb\u003egaming AI agents\u003c\/b\u003e that adapt, compete, and improve over time.\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eBuild decision-making systems for \u003cb\u003efinance, logistics, and operations\u003c\/b\u003e using RL frameworks.\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eEvaluate and fine-tune RL models with metrics to ensure optimal performance.\u003c\/p\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003ePacked with \u003cb\u003ehands-on projects\u003c\/b\u003e, \u003cb\u003estep-by-step tutorials\u003c\/b\u003e, and \u003cb\u003ereal-world examples\u003c\/b\u003e, this book gives you the foundation to create \u003cb\u003eautonomous, learning systems\u003c\/b\u003e that can tackle dynamic, uncertain environments confidently.\u003c\/p\u003e\u003cb\u003eWho This Book Is For\u003c\/b\u003e\u003cul\u003e\n\u003cli\u003e\u003cp\u003e\u003cb\u003eAspiring AI developers\u003c\/b\u003e wanting to explore reinforcement learning\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003e\u003cb\u003eRobotics enthusiasts\u003c\/b\u003e seeking autonomous control solutions\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003e\u003cb\u003eGame developers\u003c\/b\u003e looking to build intelligent, adaptive AI agents\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003e\u003cb\u003eStudents, researchers, and professionals\u003c\/b\u003e interested in applied RL for decision-making\u003c\/p\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cb\u003eLearn the fundamentals of Reinforcement Learning and start building intelligent systems that act, adapt, and improve on their own.\u003c\/b\u003e\u003c\/p\u003e","brand":"Atlantic Books","offers":[{"title":"Paperback","offer_id":46332920168599,"sku":"9798264361135","price":1654.0,"currency_code":"INR","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9798264361135.webp?v=1767715532","url":"https:\/\/atlanticbooks.com\/products\/reinforcement-learning-basics-teaching-machines-to-act-apply-rl-for-robotics-gaming-and-decision-making-systems-9798264361135","provider":"Atlantic Books","version":"1.0","type":"link"}