4 citations · 4 across the 1 of their papers we have counts for
10 papers
Evaluating the Rainbow DQN Agent in Hanabi with Unseen Partners
Rodrigo Canaan, Xianbo Gao, Youjin Chung +3
Hanabi is a cooperative game that challenges exist-ing AI techniques due to its focus on modeling the mental states ofother players to interpret and predict their behavior. While t…
Evaluation of a Recommender System for Assisting Novice Game Designers
Tiago Machado, Daniel Gopstein, Oded Nov +3
Game development is a complex task involving multiple disciplines and technologies. Developers and researchers alike have suggested that AI-driven game design assistants may improv…
Pitako -- Recommending Game Design Elements in Cicero
Tiago Machado, Dan Gopstein, Andy Nealen +1
Recommender Systems are widely and successfully applied in e-commerce. Could they be used for design? In this paper, we introduce Pitako1, a tool that applies the Recommender Syste…
Diverse Agents for Ad-Hoc Cooperation in Hanabi
Rodrigo Canaan, Julian Togelius, Andy Nealen +1
In complex scenarios where a model of other actors is necessary to predict and interpret their actions, it is often desirable that the model works well with a wide variety of previ…
Leveling the Playing Field -- Fairness in AI Versus Human Game Benchmarks
Rodrigo Canaan, Christoph Salge, Julian Togelius +1
From the beginning if the history of AI, there has been interest in games as a platform of research. As the field developed, human-level competence in complex games became a target…
Evolving Agents for the Hanabi 2018 CIG Competition
Rodrigo Canaan, Haotian Shen, Ruben Rodriguez Torrado +3
Hanabi is a cooperative card game with hidden information that has won important awards in the industry and received some recent academic attention. A two-track competition of agen…