AIIDE-WS 2018
Joint Proceedings of the AIIDE 2018 Workshops

Table of Contents

• Preface
  
  

The 2018 Workshop on Artificial Intelligence for Strategy Games

• Spatial Action Decomposition Learning Applied to RTS Combat Games
  Marius Stanescu, Michael Buro

The 5th Experimental AI in Games Workshop (EXAG)

• Deceptive Level Generator
  Adeel Zafar, Hasan Mujtaba, Mirza Omer Beg, Sajid Ali
• Wonderful Design: Applying Appraisal Theory to Procedural Level Generation
  Rosa Corstjens, Anders Bouwer, Joris Dormans, Riemer van Rozen
• Explainable PCGML via Game Design Patterns
  Matthew Guzdial, Joshua Reno, Jonathan Chen, Gillian Smith, Mark Riedl
• GenerationMania: Learning to Semantically Choreograph
  Zhiyu Lin, Kyle Xiao Mark Riedl
• I See What You See: Integrating Eye Tracking into Hanabi Playing Agents
  Eva Tallula Gottwald, Markus Eger Chris Martens
• Eliminating the Impossible: A Procedurally Generated Murder Mystery
  Henry Mohr, Markus Eger, Chris Martens
• Deep Learning for Classification of Speech Accents in Video Games
  Sergio Poo Hernandez, Vadim Bulitko, Shelby Carleton, Astrid Ensslin, Tejasvi Goorimoorthee
• Towards 3D Neural Style Transfer
  Jo Mazeika, Jim Whitehead
• Evolving NPC Behaviours in A-life with Player Proxies
  Vadim Bulitko, Mac Walters, Matthew R. Brown
• Desire Path-Inspired Procedural Placement of Coins in a Platformer Game
  Anurag Sarkar, Riddhi Padte, Jeffrey Cao, Seth Cooper
• What’s the Worst Thing You’ve Ever Done at a Conference? Operationalizing Dread’s Questionnaire Mechanic
  Ian Horswill, Ethan Robison
• Towards Automatic Extraction of Tile Types from Level Images
  Sam Snodgrass
• Towards Automated Let’s Play Commentary
  Matthew Guzdial, Shukan Shah, Mark Riedl
• Generating Puzzle Progressions to Study Mental Model Matching
  Chris Martens, Aaron Williams, Ryan S. Alexander, Chinmaya Dabral
• Learning to Generate Natural Language Rationales for Game Playing Agents
  Upol Ehsan, Pradyumna Tambwekar, Larry Chan, Brent Harrison, Mark O. Riedl
• Addressing the Elephant in the Room: Opinionated Virtual Characters
  Sasha Azad, Chris Martens
• Freedom of Movement: Generative Responses to Motion Control
  Kate Compton, Michael Mateas
• Blending Levels from Different Games using LSTMs
  Anurag Sarkar, Seth Cooper
• Co-Creative Level Design via Machine Learning
  Matthew Guzdial, Nicholas Liao, Mark Riedl

Multi-Agent Reinforcement Learning in MalmÖ Workshop (MARLÖ)

• Pommerman: A Multi-Agent Playground
  Cinjon Resnick, Wes Eldridge, David Ha, Denny Britz, Jakob Foerster, Julian Togelius, Kyunghyun Cho, Joan Bruna
• Extending World Models for Multi-Agent Reinforcement Learning in MALMÖ
  Valliappa Chockalingam, Tegg Taekyong Sung, Feryal Behbahani, Rishab Gargeya, Amlesh Sivanantham, Aleksandra Malysheva