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Castle Labs

ComputAtional STochastic optimization and LEarning

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  • Papers
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    • General Introductions
      • Books
      • Surveys/Reviews/Book Chapters
    • General Purpose Methods
      • Optimal Learning
      • Approximate Dynamic Programming
      • Machine Learning
      • Stochastic Optimization
      • Deterministic Optimization
      • Queuing Theory
    • Models and Algorithms for General Resource Allocation Problems
      • Modeling and Problem Representation
      • General Dynamic Resource Management
      • Multiagent Control
    • Applications
      • Energy Systems Analysis
      • Dynamic Fleet Management (Trucking, Rail, Air)
      • Military Airlift
      • Health and Medical Applications
      • Vehicle Routing and Scheduling Problems
      • Service Network Design
      • Machine Scheduling
      • Physical Distribution
      • Traffic and Public Transportation
      • Freight Demand Estimation
    • General Interest
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©Warren B. Powell, 1997 – 2017.

Princeton University

General Introductions

  • Books
  • Surveys/reviews/book chapters
  • Clearing the jungle of stochastic optimization (a series of tutorials)
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