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