arXiv (OAI Expanded)
open access
A Gold-Standard Study of What Makes a Lightweight Game-Playing Agent Strong
Reinforcement learning agents for imperfect-information card games are only as strong as the opponents they train against, and they are hard to grade, since they beat a random opponent over 99 percent of the time and only tie copies of themselves. So we build a strong, fixed, rule-based expert for G
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