Partially Observed Markov Decision Processes: From Filtering to Controlled Sensing 1st Edition, Kindle Edition by Vikram Krishnamurthy
Requirements: .PDF reader, 7.1 MB
Overview: Covering formulation, algorithms, and structural results, and linking theory to real-world applications in controlled sensing (including social learning, adaptive radars and sequential detection), this book focuses on the conceptual foundations of partially observed Markov decision processes (POMDPs). It emphasizes structural results in stochastic dynamic programming, enabling graduate students and researchers in engineering, operations research, and economics to understand the underlying unifying themes without getting weighed down by mathematical technicalities.
Genre: Non-Fiction > Educational
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