Learning Simulation Control in General Game-Playing Agents

  title={Learning Simulation Control in General Game-Playing Agents},
  author={Hilmar Finnsson and Yngvi Bj{\"o}rnsson},
The aim of General Game Playing (GGP) is to create intelligent agents that can automatically learn how to play many different games at an expert level without any human intervention. One of the main challenges such agents face is to automatically learn knowledge-based heuristics in real-time, whether for evaluating game positions or for search guidance. In recent years, GGP agents that use Monte-Carlo simulations to reason about their actions have become increasingly more popular. For… CONTINUE READING
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