The Text-Based Adventure AI Competition
August 03, 2018 Β· Declared Dead Β· π IEEE Transactions on Games
"No code URL or promise found in abstract"
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Authors
Timothy Atkinson, Hendrik Baier, Tara Copplestone, Sam Devlin, Jerry Swan
arXiv ID
1808.01262
Category
cs.AI: Artificial Intelligence
Citations
26
Venue
IEEE Transactions on Games
Last Checked
4 months ago
Abstract
In 2016, 2017, and 2018 at the IEEE Conference on Computational Intelligence in Games, the authors of this paper ran a competition for agents that can play classic text-based adventure games. This competition fills a gap in existing game AI competitions that have typically focussed on traditional card/board games or modern video games with graphical interfaces. By providing a platform for evaluating agents in text-based adventures, the competition provides a novel benchmark for game AI with unique challenges for natural language understanding and generation. This paper summarises the three competitions ran in 2016, 2017, and 2018 (including details of open source implementations of both the competition framework and our competitors) and presents the results of an improved evaluation of these competitors across 20 games.
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