【作者(必填)】
[color=var(--__dChsbGfIsw4B,#0c3353)]Vikram Krishnamurthy
【文题(必填)】

【年份(必填)】
2025
【全文链接或数据库名称(选填)】如需批量上传资料发帖，请点击上方的批量上传发帖按钮Partially Observed Markov Decision Processes: Filtering, Learning and Controlled Sensing [color=var(--__dChNmAwPaMXsw4B,#565959) !important]第二版

作者 [color=var(--__dChsbGMXsw4B,#2162a1)]Vikram Krishnamurthy (作者)

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.Attention: 有一个颗粒感、字体锯齿感很重的位图版本PDF，我有，本贴求矢量字体的。





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