Download AI Solutions For Drafting in Magic: The Gathering: Henry N. Ward Daniel J. Brooks Dan Troha Bobby Mills PDF Free - Full Version
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About AI Solutions For Drafting in Magic: The Gathering: Henry N. Ward Daniel J. Brooks Dan Troha Bobby Mills
The document presents a dataset of over 100,000 simulated human drafts in Magic: The Gathering (MTG) collected from Draftsim.com to aid in developing AI drafting agents. It proposes four drafting agent strategies - a heuristic agent, an expert-tuned heuristic agent, a Naive Bayes agent, and a deep neural network agent. When benchmarked on their ability to emulate human drafting, the deep neural network agent outperformed others while the Naive Bayes and expert agents outperformed simple heuristics. The work helps identify next steps to create more human-like drafting agents.
Detailed Information
| Author: | ['th onorimi'] |
|---|---|
| Publication Year: | 2020 |
| Pages: | 15 |
| Language: | English |
| Format: | |
| Price: | FREE |
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