Planning Optimization.pdf

po-f02-handout4.pdf
Preview of Planning Optimization
🔗 Source: ai.dmi.unibas.ch
📊 Size: 162 KB
👤 Author: Malte Helmert and Gabriele Röger
⬇️ Downloads: 179

Summary

The course covers planning and optimization, focusing on the Bellman equation and linear programming. It discusses the quality of solutions, introducing the concept of expected values under uncertainty and defining the expected value of a random variable. The Bellman equation is presented for MDPs and SSPs, describing the maximal or minimal expected reward or cost that can be achieved from a given state. Optimal policies are defined for MDPs and SSPs, and linear programming is introduced as a method to solve the Bellman equation, particularly for SSPs, by formulating the problem as an LP problem with non-negative variables for each state and an objective function to minimize the expected cost.

Description

The course covers planning and optimization, focusing on the Bellman equation and linear programming.

Technical Information

  • File Format: PDF
  • File Size: 162 KB
  • Pages: 6
  • Language: EN
  • Author: Malte Helmert and Gabriele Röger
  • Total Downloads: 179
  • Last Updated: 2 weeks ago

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This PDF document about Planning Optimization provides comprehensive information and guidance. Whether you're a beginner or advanced user, this resource offers valuable insights into Planning Optimization.

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