Reinforcement Learning: An Introduction – Richard S. Sutton and Andrew G. Barto

Introduction: Reinforcement learning (RL) is a subfield of artificial intelligence (AI) that focuses on creating algorithms and models that can learn to make decisions based on their interactions with an environment. It has found applications in a variety of fields, including robotics, game playing, and business. One of the most influential and extensively cited texts
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Rocket Propulsion Elements – George P. Sutton and Oscar Biblarz

Rocket Propulsion Elements – George P. Sutton and Oscar Biblarz Rocket propulsion elements refer to the fundamental components and principles involved in the operation and design of rockets. The study of rocket propulsion is a complex subject that requires a thorough understanding of various mathematical, scientific, and engineering principles. One of the most renowned and
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Mathematical Methods for Physics and Engineering – K. F. Riley M. P. Hobson and S. J. Bence

Mathematical Methods for Physics and Engineering by K. F. Riley, M. P. Hobson, and S. J. Bence is a comprehensive textbook that covers a range of mathematical techniques commonly used in the fields of physics and engineering. This book is aimed at undergraduate students who have completed an introductory course in calculus and have a
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Artificial Intelligence: Foundations of Computational Agents – David L. Poole and Alan K. Mackworth

Introduction Artificial intelligence (AI) has become an integral part of our lives, from virtual assistants on our phones to self-driving cars. It has revolutionized many industries and continues to shape the way we interact with technology. However, understanding the fundamentals of AI is crucial in order to fully comprehend its potential and limitations. In this
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The Cosmic Perspective – Jeffrey O. Bennett Megan O. Donahue Nicholas Schneider and Mark Voit

The Cosmic Perspective is a book written by Jeffrey O. Bennett, Megan O. Donahue, Nicholas Schneider, and Mark Voit. It is a popular science astronomy textbook that explores the wonders of our universe from a holistic perspective, blending both scientific and philosophical concepts. One of the most distinctive aspects of The Cosmic Perspective is its
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Introduction to Algorithms – Thomas H. Cormen Charles E. Leiserson Ronald L. Rivest and Clifford Stein

Introduction to Algorithms is a widely-used and highly-regarded textbook on the subject of algorithms. Originally published in 1990, the book has undergone several revisions and is currently in its third edition, published in 2009. The book is co-authored by Thomas H. Cormen, Charles E. Leiserson, Ronald L. Rivest, and Clifford Stein. Thomas H. Cormen is
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