| Vol-2282 urn:nbn:de:0074-2282-4 Copyright © 2018 for the individual papers by the papers' authors. Copying permitted for private and academic purposes. This volume is published and copyrighted by its editors.

# AIIDE-WS 2018
Joint Proceedings of the AIIDE 2018 Workshops

### Joint Proceedings of the AIIDE 2018 Workshops
co-located with 14th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE 2018)

### Edmonton, Canada, November 13-14, 2018.

Edited by

### Jichen Zhu

Drexel University, Philadelphia, USA

## 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

2018-11-16: submitted by Jichen Zhu, metadata incl. bibliographic data published under Creative Commons CC0
2018-12-22: published on CEUR-WS.org |valid HTML5|