Name
Abstract | ||
|---|---|---|
From the early days of computing, games have been important testbeds for studying how well machines can do sophisticated decision making. In recent years, machine learning has made dramatic advances with artificial agents reaching superhuman performance in challenge domains like Go, Atari, and some variants of poker. As with their predecessors of chess, checkers, and backgammon, these game domains have driven research by providing sophisticated yet well-defined challenges for artificial intelligence practitioners. We continue this tradition by proposing the game of Hanabi as a new challenge domain with novel problems that arise from its combination of purely cooperative gameplay with two to five players and imperfect information. In particular, we argue that Hanabi elevates reasoning about the beliefs and intentions of other agents to the foreground. We believe developing novel techniques for such theory of mind reasoning will not only be crucial for success in Hanabi, but also in broader collaborative efforts, especially those with human partners. To facilitate future research, we introduce the open-source Hanabi Learning Environment, propose an experimental framework for the research community to evaluate algorithmic advances, and assess the performance of current state-of-the-art techniques. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.artint.2019.103216 | Artificial Intelligence |
Keywords | Field | DocType |
Multi-agent learning,Challenge paper,Reinforcement learning,Games,Theory of mind,Communication,Imperfect information,Cooperative | Data science,Theory of mind,Artificial intelligence,Learning environment,Perfect information,Frontier,Mathematics,Machine learning | Journal |
Volume | Issue | ISSN |
280 | 1 | 0004-3702 |
Citations | PageRank | References |
8 | 0.69 | 31 |
Authors | ||
15 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Nolan Bard | 1 | 90 | 7.40 |
| Jakob N. Foerster | 2 | 306 | 23.79 |
| Sarath Chandar A. P. | 3 | 127 | 13.79 |
| Neil Burch | 4 | 373 | 29.51 |
| Marc Lanctot | 5 | 2121 | 97.97 |
| Francis Song | 6 | 8 | 0.69 |
| Emilio Parisotto | 7 | 42 | 3.39 |
| Vincent Dumoulin | 8 | 959 | 59.16 |
| Subhodeep Moitra | 9 | 83 | 3.15 |
| Edward Hughes | 10 | 26 | 7.67 |
| Iain Dunning | 11 | 265 | 14.52 |
| Shibl Mourad | 12 | 9 | 1.05 |
| Hugo Larochelle | 13 | 7692 | 488.99 |
| Marc G. Bellemare | 14 | 3098 | 152.94 |
| Michael H. Bowling | 15 | 2460 | 205.07 |