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Total Size:
25.6 MB
Info Hash:
0190FAB33C6E800573F52A0C7C6064B9B3E72AB4
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Added:
June 8, 2025, 11:38 a.m.
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(Last updated: June 9, 2025, 7:27 p.m.)
| File | Size |
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| ['Krishnamurthy V. Partially Observed Markov Decision Processes...2025.pdf'] | 0 bytes |
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25.6 MB
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2025-06-08
| Uploaded by andryold1 | Size 25.6 MB | Health [ 25 /37 ] | Added 2025-06-08 |
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17.2 MB
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| Uploaded by indexFroggy | Size 17.2 MB | Health [ 19 /9 ] | Added 2023-07-01 |
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| Uploaded by mickjapa108 | Size 55.4 MB | Health [ 14 /2 ] | Added 2023-10-24 |
NOTE
SOURCE: Krishnamurthy V. Partially Observed Markov Decision Processes...2025
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COVER
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MEDIAINFO
Textbook in PDF format 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. In light of major advances in machine learning over the past decade, this edition includes a new Part V on inverse reinforcement learning as well as a new chapter on non-parametric Bayesian inference (for Dirichlet processes and Gaussian processes), variational Bayes and conformal prediction
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