86 citations · 104 across the 9 of their papers we have counts for
15 papers
LogicInference: A New Dataset for Teaching Logical Inference to seq2seq Models
Santiago Ontanon, Joshua Ainslie, Vaclav Cvicek +1
Machine learning models such as Transformers or LSTMs struggle with tasks that are compositional in nature such as those involving reasoning/inference. Although many datasets exist…
Gym-RTS: Toward Affordable Full Game Real-time Strategy Games Research with Deep Reinforcement Learning
Shengyi Huang, Santiago Ontañón, Chris Bamford +1
In recent years, researchers have achieved great success in applying Deep Reinforcement Learning (DRL) algorithms to Real-time Strategy (RTS) games, creating strong autonomous agen…
Rotating Boson Stars Using Finite Differences and Global Newton Methods
Santiago Ontanon, Miguel Alcubierre
We study Rotating Boson Star initial data for Numerical Relativity as previously considered by Yoshida and Eriguchi, Lai (arXiv:gr-qc/0410040v2), and Grandclement, Somé and Gourgou…
Player-Centered AI for Automatic Game Personalization: Open Problems
Jichen Zhu, Santiago Ontañón
Computer games represent an ideal research domain for the next generation of personalized digital applications. This paper presents a player-centered framework of AI for game perso…
Personalization Paradox in Behavior Change Apps: Lessons from a Social Comparison-Based Personalized App for Physical Activity
Jichen Zhu, Diane H. Dallal, Robert C. Gray +4
Social comparison-based features are widely used in social computing apps. However, most existing apps are not grounded in social comparison theories and do not consider individual…
Player Modeling via Multi-Armed Bandits
Robert C. Gray, Jichen Zhu, Dannielle Arigo +2
This paper focuses on building personalized player models solely from player behavior in the context of adaptive games. We present two main contributions: The first is a novel appr…