| #1336226 in Books | Vikram Krishnamurthy | 2016-03-21 | Original language:English | PDF # 1 | 9.72 x.98 x6.85l,.0 | File type: PDF | 488 pages | Partially Observed Markov Decision Processes From Filtering to Controlled Sensing||0 of 0 people found the following review helpful.| Excellent thorough description of POMPDs and their applications|By Martie M Goulding|Professor Krishnamurthy's book achieves an excellent balance between the required rigor to understand the principles behind Partially Observed Markov Decision Processes (POMPDs) and their practical application to various engineering problems from optimal scheduling of sensors such as radar to s|About the Author|Vikram Krishnamurthy is a Professor and Canada Research Chair in Statistical Signal Processing at the University of British Columbia, Vancouver. His research contributions focus on nonlinear filtering, stochastic approximation algorithms and POM
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 underst...
You easily download any file type for your device.Partially Observed Markov Decision Processes: From Filtering to Controlled Sensing | Vikram Krishnamurthy.Not only was the story interesting, engaging and relatable, it also teaches lessons.
