KEG 2019
Knowledge Extraction from Games

Table of Contents

• Preface to the Proceedings of the 2nd Knowledge Extraction from Games Workshop 1
  Matthew Guzdial, Joseph Osborn, Sam Snodgrass
  
• Extracting Policies from Replays to Improve MCTS in Real Time Strategy Games 2-8
  Zuozhi Yang, Santiago Ontañón
  
• Extracting CCGs for Plan Recognition in RTS Games 9-16
  Pavan Kantharaju, Santiago Ontañón, Christopher Geib
  
• Unsupervised Methods For Subgoal Discovery During Intrinsic Motivation in Model-Free Hierarchical Reinforcement Learning 17-25
  Jacob Rafati, David Noelle
  
• Taking the Scenic Route: Automatic Exploration for Videogames 26-34
  Zeping Zhan, Batu Aytemiz, Adam M. Smith
  
• Intuitive Rules Design Evaluation Methods and Case Study 35-42
  Joseph Alexander Brown, Hamna Aslam, Munir Makhmutov, Giancarlo Succi
  
• Kwiri - What, When, Where and Who: Everything You Ever Wanted to Know About Your Game But Didn't Know How to Ask 43-50
  Tiago Machado, Daniel Gopstein, Andy Nealen, Julian Togelius
  
• GenerationMania: Learning to Semantically Choreograph 51-57
  Zhiyu Lin, Mark Riedl, Kyle Xiao
  
• Exploring EPCG in The Witness 58-63
  Nathan Sturtevant
  
• Clustering Player Strategies from Variable-Length Game Logs in Dominion 64-69
  Henry Bendekgey
  
• Strategic Features for General Games 70-75
  Cameron Browne, Dennis J. N. J. Soemers, Eric Piette
  
• Discretization of Game Space by Environment Attributes 76-80
  Alexander Braylan, Risto Miikkulainen