Model-Based Reinforcement Learning Milad Farsi

Model-Based Reinforcement Learning – Ebook Instant Download/Delivery ISBN(s): 9781119808572,111980857X

Product details:

• ISBN-10 ‏ : ‎ 111980857X
• ISBN-13 ‏ : ‎ 978-1119808572
• Author(s): Milad Farsi, Jun Liu

Reinforcement learning is an essential paradigm of machine learning, wherein an intelligent agent performs actions that ensure optimal behavior from devices. While this paradigm of machine learning has gained tremendous success and popularity in recent years, previous scholarship has focused either on theory―optimal control and dynamic programming – or on algorithms―most of which are simulation-based.

Model-Based Reinforcement Learning provides a model-based framework to bridge these two aspects, thereby creating a holistic treatment of the topic of model-based online learning control. In doing so, the authors seek to develop a model-based framework for data-driven control that bridges the topics of systems identification from data, model-based reinforcement learning, and optimal control, as well as the applications of each. This new technique for assessing classical results will allow for a more efficient reinforcement learning system. At its heart, this book is focused on providing an end-to-end framework―from design to application―of a more tractable model-based reinforcement learning technique.

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