What is it about?
Learn Reinforcement Learning from basic concepts illustrated with mathematical theory, apply to practical, real-life problems in finance using TensorFlow library, and become an expert at implementing Reinforcement Learning algorithms.
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Why is it important?
Reinforcement Learning is a promising area of machine learning best suited for real-life problems that lack a simplistic objective function, or whose objective function changes according to a state. Learning Reinforcement Learning and becoming an expert at it using TensorFlow library - a widely used and efficient neural network library - is a tremendous professional and personal achievement for practitioners and researchers alike. This book helps in that effort.
Perspectives
Reinforcement Learning is often viewed as an advanced branch of artificial intelligence due to its mathematical foundations and intricate algorithms that pose a significant learning curve. This book provides a clear and detailed explanation of the concepts, implementation of basic and advanced RL algorithms using TensorFlow, and their applications to real-life problems.
Samit Ahlawat
JP Morgan Chase and Co
Read the Original
This page is a summary of: Reinforcement Learning for Finance, January 2023, Springer Science + Business Media,
DOI: 10.1007/978-1-4842-8835-1.
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