From Shortest Paths to Reinforcement Learning: A Matlab-Based Tutorial on Dynamic Programming - Paperback
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Matlab-based implementation enables hands-on experimentation with dynamic programming concepts
Covers both discrete and continuous state numerical dynamic programming and reinforcement learning
Assumes basic knowledge of probability and optimization for accessible learning
Suitable for practitioners and graduate students in engineering, applied mathematics, management, finance, and economics
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Report copyright infringement by Paolo Brandimarte (Author) Back Jacket Dynamic programming (DP) has a relevant history as a powerful and flexible optimization principle, but has a bad reputation as a computationally impractical tool. This book fills a gap between the statement of DP principles and their actual software implementation. Using