Partially Observed Markov Decision Processes
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Published By Cambridge University Press

9781316471104
Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Myopic policy bounds for POMDPs and sensitivity to model parameters

2016 ◽  
pp. 312-340
Author(s):  
Vikram Krishnamurthy
Keyword(s):  
Model Parameters ◽  
Myopic Policy

Stochastic approximation algorithms: examples

2016 ◽  
pp. 380-424
Author(s):  
Vikram Krishnamurthy
Keyword(s):  
Approximation Algorithms ◽  
Stochastic Approximation

References

2016 ◽  
pp. 455-470
Author(s):  
Vikram Krishnamurthy

Preface

2016 ◽  
pp. xi-xiv
Author(s):  
Vikram Krishnamurthy ◽  
Vikram Krishnamurthy

Stochastic Approximation and Reinforcement Learning

2016 ◽  
pp. 341-342
Author(s):  
Vikram Krishnamurthy
Keyword(s):  
Reinforcement Learning ◽  
Stochastic Approximation

Short primer on stochastic simulation

2016 ◽  
pp. 428-441
Author(s):  
Vikram Krishnamurthy
Keyword(s):  
Stochastic Simulation

Introduction

2016 ◽  
pp. 1-8
Author(s):  
Vikram Krishnamurthy

Fully observed Markov decision processes

2016 ◽  
pp. 121-146 ◽  
Author(s):  
Vikram Krishnamurthy
Keyword(s):  
Markov Decision Processes ◽  
Decision Processes ◽  
Markov Decision

Optimal filtering

2016 ◽  
pp. 34-72 ◽  
Author(s):  
Vikram Krishnamurthy
Keyword(s):  
Optimal Filtering

POMDPs in controlled sensing and sensor scheduling

2016 ◽  
pp. 179-200
Author(s):  
Vikram Krishnamurthy
Keyword(s):  
Sensor Scheduling ◽  
Controlled Sensing
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