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🔗 Source: ai.dmi.unibas.ch
📊 Size: 222 KB
👤 Author: Malte Helmert and Thomas Keller
⬇️ Downloads: 140

Summary

Monte-Carlo Tree Search (MCTS) algorithms consist of 4 phases: selection, expansion, simulation, and backpropagation. The tree policy is used to traverse the tree, while the default policy is used to simulate a run from a state to a goal. The default policy must be proper to guarantee termination and a finite cost. MCTS simulation uses a default policy to estimate the state-value of a node. Asymptotic optimality is also discussed, but the provided text does not elaborate on this topic in detail.

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Description

Monte-Carlo Tree Search (MCTS) algorithms consist of 4 phases: selection, expansion, simulation, and backpropagation.

Technical Information

  • File Format: PDF
  • File Size: 222 KB
  • Pages: 10
  • Language: EN
  • Author: Malte Helmert and Thomas Keller
  • Total Downloads: 140
  • Last Updated: 3 hours ago

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

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