Vikram Krishnamurthy (New York Cornell University)

Gebundenes Buch

Partially Observed Markov Decision Processes

Beschreibung

This survey of formulation, algorithms, and structural results in POMDPs focuses on underlying concepts and connections to real-world applications in controlled sensing, keeping technical machinery to a minimum. The new edition includes inverse reinforcement learning, non-parametric Bayesian inference, variational Bayes and conformal prediction.

Autor

Vikram Krishnamurthy is Professor of Electrical and Computer Engineering at Cornell University. From 2002 to 2016, he was Professor and Senior Canada Research Chair in Statistical Signal Processing at the University of British Columbia. His research contributions are in statistical signal processing, stochastic optimization and control, with applications in social networks, adaptive radar systems and biological ion channels. He is a Fellow of IEEE and served as Distinguished Lecturer for the IEEE Signal Processing Society and Editor-in-Chief of IEEE Journal of Selected Topics in Signal Processing. He was awarded an honorary doctorate from the Royal Institute of Technology (KTH) Sweden in 2014.

Produktdetails

• Verlag: Cambridge University Press
• 2 Revised edition
• Seitenzahl: 652
• Erscheinungstermin: 28. April 2025
• Englisch
• Abmessung: 260mm x 183mm x 39mm
• Gewicht: 1384g
• ISBN-13: 9781009449434
• ISBN-10: 1009449435
• Artikelnr.: 72879217