Abalone Mastery.pdf

claussen2022-abalone_deep_rl_self-play.pdf
Preview of Abalone Mastery
🔗 Source: serwiss.bib.hs-hannover.de
📊 Size: 4.14 MB
📄 Pages: 86 pages
⬇️ Downloads: 106

Summary

Ture Claußen's bachelor thesis explores applying deep reinforcement learning and self-play to master the game of Abalone, inspired by AlphaGo's success in Go and its successor AlphaZero's applications in other games, with the goal of achieving strong gameplay in Abalone despite computational resource limitations.

Description

Ture Claußen's bachelor thesis explores applying deep reinforcement learning and self-play to master the game of Abalone, inspired by AlphaGo's success in Go...

Technical Information

  • File Format: PDF
  • File Size: 4.14 MB
  • Pages: 86
  • Language: EN
  • Total Downloads: 106
  • Last Updated: 4 hours ago

Document Overview

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

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