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WS93-06-009.pdf
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🔗 Source: cdn.aaai.org
📊 Size: 651 KB
👤 Author: Marc Atkin and Paul R. Cohen
⬇️ Downloads: 68

Summary

Genetic programming is used to learn an agent's monitoring strategy in various environments and tasks. A simple agent programming language and simulator were developed to represent and evaluate monitoring strategies. The agent's task is to get as close as possible to an obstacle without touching it, given noisy sensor data. The algorithm generates programs that control a simulated robot, and different monitoring strategies are learned in environments with different features. A strategy called proportional reduction is identified as superior to periodic monitoring in many cases. The work aims to set up a general classification scheme to determine when to use which monitoring strategy.

Description

Genetic programming is used to learn an agent's monitoring strategy in various environments and tasks.

Technical Information

  • File Format: PDF
  • File Size: 651 KB
  • Pages: 6
  • Language: EN
  • Author: Marc Atkin and Paul R. Cohen
  • Total Downloads: 68
  • Last Updated: 3 weeks ago

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