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TStarBot-X: An Open-Sourced and Comprehensive Study for Efficient League Training in StarCraft II FG

热度:54   发布时间:2023-12-12 08:47:05.0

文章目录

  • 前言
  • Technical Details and Methods
    • Observation, Action and Reward
    • Neural Network Architechture
    • Imitation Learning with Importance Sampling
    • Diversified League Training
    • Rule-Guided Policy Search
    • Stabilized Policy Improvement with DAPO
  • Results
    • Overall Performance
      • Human Evaluation
      • League Evaluation
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