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A Practical Guide to Reinforce...Understand and apply Reinforcement Learning from Human Feedback (RLHF) in AI a... Understand and apply Reinforcement Learning from Human Feedback (RLHF) in AI alignment and machine learning applications. Learn how human-in-the-loop training aligns large language models (LLMs) with human preferences and AI safety. Key Features: -... more
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Reinforcement Learning from Hu...Get a free eBook (PDF or ePub) from Manning as well as access to the online li... Get a free eBook (PDF or ePub) from Manning as well as access to the online liveBook format (and its AI assistant that will answer your questions in any language) when you purchase the print book. This is the authoritative guide for Reinforcement... more
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Human Brain Coloring Book: The...The Human Brain Coloring Book provides a means of learning about the structure... The Human Brain Coloring Book provides a means of learning about the structure and function of the human brain through a process of coloring-by-directions. It was developed by internationally recognized neuroscientists and teachers. Coloring the... more
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Control Engineering Output Fee...Preface.- Introduction to Optimal Control and Reinforcement Learning.- Model-F... Preface.- Introduction to Optimal Control and Reinforcement Learning.- Model-Free Design of Linear Quadratic Regulator.- Model-Free H-infinity Disturbance Rejection and Linear Quadratic Zero-Sum Games.- Model-Free Stabilization in the Presence of... more
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Pre-Owned Reinforcement Learni...Changsheng Hua proposes two approaches an input/output recovery approach and a... Changsheng Hua proposes two approaches an input/output recovery approach and a performance index-based approach for robustness and performance optimization of feedback control systems. For their data-driven implementation in deterministic and... more
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Reinforcement Learning Aided P...Changsheng Hua proposes two approaches an input/output recovery approach and a... Changsheng Hua proposes two approaches an input/output recovery approach and a performance index-based approach for robustness and performance optimization of feedback control systems. For their data-driven implementation in deterministic and... more
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Control Engineering Output Fee...Output Feedback Reinforcement Learning Control for Linear Systems Output Feedback Reinforcement Learning Control for Linear Systems more
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Hands-On Reinforcement Learnin...A hands-on guide enriched with examples to master deep reinforcement learning ... A hands-on guide enriched with examples to master deep reinforcement learning algorithms with Python Key Features: Your entry point into the world of artificial intelligence using the power of Python An example-rich guide to master various RL and... more
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Learning to Learn: Reinforceme...Ever wondered how machines learn to make decisions: not by rules but by trial ... Ever wondered how machines learn to make decisions: not by rules but by trial and error? Learning to Learn: Reinforcement Learning Explained for Humans is your doorway into one of the most exciting areas of Artificial Intelligence. Written with... more
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Pre-Owned Hands-On Reinforceme...A hands-on guide enriched with examples to master deep reinforcement learning ... A hands-on guide enriched with examples to master deep reinforcement learning algorithms with Python Key Features: Your entry point into the world of artificial intelligence using the power of Python An example-rich guide to master various RL and... more
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Mastering Reinforcement Learni...Get hands-on experience in creating state-of-the-art reinforcement learning ag... Get hands-on experience in creating state-of-the-art reinforcement learning agents using TensorFlow and RLlib to solve complex real-world business and industry problems with the help of expert tips and best practices Key Features: Understand how... more
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Pre-Owned Mastering Reinforcem...This book focuses on expert-level explanations and implementations of scalable... This book focuses on expert-level explanations and implementations of scalable reinforcement learning algorithms and approaches. Starting with the fundamentals the book covers state-of-the-art methods from bandit problems to meta-reinforcement... more
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Multi-Agent Reinforcement Lear...Unlock the Power of Multi-Agent Reinforcement Learning-No Experience Required!... Unlock the Power of Multi-Agent Reinforcement Learning-No Experience Required! Do you ever look at advanced AI robotics or machine learning and wonder Could I ever understand this? Maybe you ve felt overwhelmed by complex code technical jargon or... more
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How to make Robot move like a ...Have you ever imagined a robot learning non-stop? What about a humanoid robot?... Have you ever imagined a robot learning non-stop? What about a humanoid robot? It learns each step and between trials and its learning does not stall. Our world is made of waves. We turned a fully connected neural network to work in Fourier domain... more
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The Reinforcement Learning Wor...Start with the basics of reinforcement learning and explore deep learning conc... Start with the basics of reinforcement learning and explore deep learning concepts such as deep Q-learning deep recurrent Q-networks and policy-based methods with this practical guide Key Features Use TensorFlow to write reinforcement learning... more
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IEEE Press Systems Science and...A comprehensive exploration of the control schemes of human-robot interactions... A comprehensive exploration of the control schemes of human-robot interactions In Human-Robot Interaction Control Using Reinforcement Learning an expert team of authors delivers a concise overview of human-robot interaction control schemes and... more
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Reinforcement Learning for Dev...Are you a developer who has been intrigued by reinforcement learning but found... Are you a developer who has been intrigued by reinforcement learning but found it too difficult to master? This book is designed for you. Reinforcement learning first introduced through AlphaGo is now revolutionizing industries from stock trading... more
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Reinforcement Learning Applied...Reactive Publishing Financial markets are dynamic adversarial and path-depende... Reactive Publishing Financial markets are dynamic adversarial and path-dependent. Static models degrade quickly in volatile regimes and handcrafted rules struggle to generalize when liquidity correlation and volatility relationships shift.... more
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Introduction to Reinforcement ...The AI Revolution: Mastering Reinforcement Learning with Python is a groundbre... The AI Revolution: Mastering Reinforcement Learning with Python is a groundbreaking guide that transforms complex AI concepts into practical real-world applications. Written by renowned AI expert Greyson Chesterfield this comprehensive masterpiece... more
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Reinforcement Learning Applied...Reactive Publishing This book is your definitive guide to building training an... Reactive Publishing This book is your definitive guide to building training and deploying deep reinforcement learning systems for modern futures markets. Designed for quantitative analysts systematic traders and advanced practitioners it bridges... more
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