Synopsis
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 stories, analogies, and real Python code, this book transforms complex equations into ideas you’ll never forget.
Inside, you’ll discover:
The core building blocks of Reinforcement Learning: agents, states, actions, rewards, and policies.
Why trial-and-error learning powers robots, self-driving cars, recommender systems, and even healthcare AI.
Intuitive analogies: from curious cats to game-playing algorithms.
Step-by-step Python examples you can run and modify yourself.
“Satyam’s Explanation” sections at the end of each chapter that strip away jargon and give you the heart of the idea in plain language.
Whether you’re an undergraduate student, developer, researcher, or a curious learner, this book is designed to help you not just understand RL, but feel how it works. Each chapter includes quizzes, reflective exercises, and code experiments so you can learn actively.
If you’ve been intimidated by dense math and Bellman equations, this book is the friendly guide you’ve been looking for.
Learn to think like an agent. Learn to learn.
"synopsis" may belong to another edition of this title.
Search results for Learning to Learn: Reinforcement Learning Explained...
Stock Image
Learning to Learn (Paperback)
Print on DemandSeller: Grand Eagle Retail, Bensenville, IL, U.S.A.
Seller rating 5 out of 5 stars
Paperback. Condition: new. Paperback. 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 stories, analogies, and real Python code, this book transforms complex equations into ideas you'll never forget.Inside, you'll discover: The core building blocks of Reinforcement Learning: agents, states, actions, rewards, and policies.Why trial-and-error learning powers robots, self-driving cars, recommender systems, and even healthcare AI.Intuitive analogies: from curious cats to game-playing algorithms.Step-by-step Python examples you can run and modify yourself."Satyam's Explanation" sections at the end of each chapter that strip away jargon and give you the heart of the idea in plain language.Whether you're an undergraduate student, developer, researcher, or a curious learner, this book is designed to help you not just understand RL, but feel how it works. Each chapter includes quizzes, reflective exercises, and code experiments so you can learn actively.If you've been intimidated by dense math and Bellman equations, this book is the friendly guide you've been looking for.Learn to think like an agent. Learn to learn. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9798298399968
Stock Image
Learning to Learn: Reinforcement Learning Explained for Humans
Print on DemandSeller: California Books, Miami, FL, U.S.A.
Seller rating 4 out of 5 stars
Condition: New. Print on Demand. Seller Inventory # I-9798298399968
Stock Image
Learning to Learn
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
Seller rating 5 out of 5 stars
PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000. Seller Inventory # L2-9798298399968
Buy New
US$ 55.66
US$ 5.59 shipping
Ships from United Kingdom to U.S.A.
Ships from United Kingdom to U.S.A.
Quantity: Over 20 available
Stock Image
Learning to Learn (Paperback)
Print on DemandSeller: CitiRetail, Stevenage, United Kingdom
Seller rating 5 out of 5 stars
Paperback. Condition: new. Paperback. 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 stories, analogies, and real Python code, this book transforms complex equations into ideas you'll never forget.Inside, you'll discover: The core building blocks of Reinforcement Learning: agents, states, actions, rewards, and policies.Why trial-and-error learning powers robots, self-driving cars, recommender systems, and even healthcare AI.Intuitive analogies: from curious cats to game-playing algorithms.Step-by-step Python examples you can run and modify yourself."Satyam's Explanation" sections at the end of each chapter that strip away jargon and give you the heart of the idea in plain language.Whether you're an undergraduate student, developer, researcher, or a curious learner, this book is designed to help you not just understand RL, but feel how it works. Each chapter includes quizzes, reflective exercises, and code experiments so you can learn actively.If you've been intimidated by dense math and Bellman equations, this book is the friendly guide you've been looking for.Learn to think like an agent. Learn to learn. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9798298399968
Buy New
US$ 60.86
US$ 49.70 shipping
Ships from United Kingdom to U.S.A.
Ships from United Kingdom to U.S.A.
Quantity: 1 available