This paper outlines the Hanabi competition, first run at CIG 2018, and returning for COG 2019. Hanabi presents a useful domain for game agents which must function in a cooperative environment. The paper presents the results of the two tracks which formed the 2018 competition and introduces the learning track, a new track for 2019 which allows the agents to collect statistics across multiple games
Recent superhuman results in games have largely been achieved in a variety of zero-sum settings, suc...
It has been an open challenge for self-interested agents to make optimal sequential decisions in com...
The standard problem setting in cooperative multi-agent settings is self-play (SP), where the goal i...
This thesis investigates Artificial Intelligence in co-operative games that feature Partial Observab...
This paper showcases the setting and results of the first Two-Player General Video Game AI Competiti...
This paper showcases the setting and results of the first Two-Player General Video Game AI Competiti...
This paper showcases the setting and results of the first Two-Player General Video Game AI Competiti...
This paper studies a cooperative card game called Hanabi from an algorithmic combinatorial game theo...
This paper showcases the setting and results of the first Two-Player General Video Game AI Competiti...
Hanabi is a cooperative game that brings the problem of modeling other players to the forefront. In ...
While artificial intelligence has been applied to control players’ decisions in board games for ove...
In recent years, games have been a popular test bed for AI research, and the presence of Collectible...
\u3cp\u3eThis paper studies a cooperative card game called Hanabi from an algorithmic combinatorial ...
In recent years, games have been a popular test bed for AI research, and the presence of Collectible...
In recent years, games have been a popular test bed for AI research, and the presence of Collectible...
Recent superhuman results in games have largely been achieved in a variety of zero-sum settings, suc...
It has been an open challenge for self-interested agents to make optimal sequential decisions in com...
The standard problem setting in cooperative multi-agent settings is self-play (SP), where the goal i...
This thesis investigates Artificial Intelligence in co-operative games that feature Partial Observab...
This paper showcases the setting and results of the first Two-Player General Video Game AI Competiti...
This paper showcases the setting and results of the first Two-Player General Video Game AI Competiti...
This paper showcases the setting and results of the first Two-Player General Video Game AI Competiti...
This paper studies a cooperative card game called Hanabi from an algorithmic combinatorial game theo...
This paper showcases the setting and results of the first Two-Player General Video Game AI Competiti...
Hanabi is a cooperative game that brings the problem of modeling other players to the forefront. In ...
While artificial intelligence has been applied to control players’ decisions in board games for ove...
In recent years, games have been a popular test bed for AI research, and the presence of Collectible...
\u3cp\u3eThis paper studies a cooperative card game called Hanabi from an algorithmic combinatorial ...
In recent years, games have been a popular test bed for AI research, and the presence of Collectible...
In recent years, games have been a popular test bed for AI research, and the presence of Collectible...
Recent superhuman results in games have largely been achieved in a variety of zero-sum settings, suc...
It has been an open challenge for self-interested agents to make optimal sequential decisions in com...
The standard problem setting in cooperative multi-agent settings is self-play (SP), where the goal i...