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ORCIDAIIDE Workshops 2018: Edmonton, Alberta, Canada
- Jichen Zhu:
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. CEUR Workshop Proceedings 2282, CEUR-WS.org 2018
The 2018 Workshop on Artificial Intelligence for Strategy Games
- Marius Stanescu, Michael Buro:
Spatial Action Decomposition Learning Applied to RTS Combat Games.
The 5th Experimental AI in Games Workshop (EXAG)
- Adeel Zafar, Hasan Mujtaba, Mirza Omer Beg, Sajid Ali:
Deceptive Level Generator. - Rosa Corstjens, Anders Bouwer, Joris Dormans, Riemer van Rozen:
Wonderful Design: Applying Appraisal Theory to Procedural Level Generation. - Matthew Guzdial, Joshua Reno, Jonathan Chen, Gillian Smith, Mark O. Riedl:
Explainable PCGML via Game Design Patterns. - Zhiyu Lin, Kyle Xiao, Mark O. Riedl:
GenerationMania: Learning to Semantically Choreograph. - Eva Tallula Gottwald, Markus Eger, Chris Martens:
I See What You See: Integrating Eye Tracking into Hanabi Playing Agents. - Henry Mohr, Markus Eger, Chris Martens:
Eliminating the Impossible: A Procedurally Generated Murder Mystery. - Sergio Poo Hernandez, Vadim Bulitko, Shelby Carleton, Astrid Ensslin, Tejasvi Goorimoorthee:
Deep Learning for Classification of Speech Accents in Video Games. - Jo Mazeika, Jim Whitehead:
Towards 3D Neural Style Transfer. - Vadim Bulitko, Mac Walters, Matthew R. Brown:
Evolving NPC Behaviours in A-life with Player Proxies. - Anurag Sarkar, Riddhi Padte, Jeffrey Cao, Seth Cooper:
Desire Path-Inspired Procedural Placement of Coins in a Platformer Game. - Ian Horswill, Ethan Robison:
What's the Worst Thing You've Ever Done at a Conference? Operationalizing Dread's Questionnaire Mechanic. - Sam Snodgrass:
Towards Automatic Extraction of Tile Types from Level Images. - Matthew Guzdial, Shukan Shah, Mark O. Riedl:
Towards Automated Let's Play Commentary. - Chris Martens, Aaron Williams, Ryan S. Alexander, Chinmaya Dabral:
Generating Puzzle Progressions to Study Mental Model Matching. - Upol Ehsan, Pradyumna Tambwekar, Larry Chan, Brent Harrison, Mark O. Riedl:
Learning to Generate Natural Language Rationales for Game Playing Agents. - Sasha Azad, Chris Martens:
Addressing the Elephant in the Room: Opinionated Virtual Characters. - Kate Compton, Michael Mateas:
Freedom of Movement: Generative Responses to Motion Control. - Anurag Sarkar, Seth Cooper:
Blending Levels from Different Games using LSTMs. - Matthew Guzdial, Nicholas Liao, Mark O. Riedl:
Co-Creative Level Design via Machine Learning.
Multi-Agent Reinforcement Learning in MalmÖ Workshop (MARLÖ)
- Cinjon Resnick, Wes Eldridge, David Ha, Denny Britz, Jakob N. Foerster, Julian Togelius, Kyunghyun Cho, Joan Bruna:
Pommerman: A Multi-Agent Playground. - Valliappa Chockalingam, Tegg Tae Kyong Sung, Feryal M. P. Behbahani, Rishab Gargeya, Amlesh Sivanantham, Aleksandra Malysheva:
Extending World Models for Multi-Agent Reinforcement Learning in MALMÖ.
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