Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2405.06846 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1866914791640006656 |
|---|---|
| author | Halawi, Danny Sarmasi, Aron Saltzen, Siena McCoy, Joshua |
| author_facet | Halawi, Danny Sarmasi, Aron Saltzen, Siena McCoy, Joshua |
| contents | In recent years, machine learning approaches have made dramatic advances, reaching superhuman performance in Go, Atari, and poker variants. These games, and others before them, have served not only as a testbed but have also helped to push the boundaries of AI research. Continuing this tradition, we examine the tabletop game Dominion and discuss the properties that make it well-suited to serve as a benchmark for the next generation of reinforcement learning (RL) algorithms. We also present the Dominion Online Dataset, a collection of over 2,000,000 games of Dominion played by experienced players on the Dominion Online webserver. Finally, we introduce an RL baseline bot that uses existing techniques to beat common heuristic-based bots, and shows competitive performance against the previously strongest bot, Provincial. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2405_06846 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Dominion: A New Frontier for AI Research Halawi, Danny Sarmasi, Aron Saltzen, Siena McCoy, Joshua Artificial Intelligence In recent years, machine learning approaches have made dramatic advances, reaching superhuman performance in Go, Atari, and poker variants. These games, and others before them, have served not only as a testbed but have also helped to push the boundaries of AI research. Continuing this tradition, we examine the tabletop game Dominion and discuss the properties that make it well-suited to serve as a benchmark for the next generation of reinforcement learning (RL) algorithms. We also present the Dominion Online Dataset, a collection of over 2,000,000 games of Dominion played by experienced players on the Dominion Online webserver. Finally, we introduce an RL baseline bot that uses existing techniques to beat common heuristic-based bots, and shows competitive performance against the previously strongest bot, Provincial. |
| title | Dominion: A New Frontier for AI Research |
| topic | Artificial Intelligence |
| url | https://arxiv.org/abs/2405.06846 |