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Exploring Hanabi, a great card game, in terms of strategy/AI.
This project forked from geoff-hom-gmail-com/hanabi
Exploring Hanabi, a great card game, in terms of strategy/AI.
My name is Geoff Hom; I can be reached at [email protected]. This is a Hanabi solver. It allows one to explore the game space of Hanabi. Hanabi: http://boardgamegeek.com/boardgame/98778/hanabi To run, use Xcode 6. (This Hanabi solver is an iPad app, mostly in Swift, targeted for iOS 7.1+.) What you can do: --Simulate many games to get statistics. --Walk through a single game to see how the AI plays it. --Single games are reproducible via seeds. What you can't do, yet: --Enter a custom deck/deal to analyze. --Change number of players in the game. --Select AIs other than one that cheats. =) --Select an AI that mimics (good) human play. AIs: • Omniscient: Cheats (knowledge of own hand). • Games lost: ~3%. • Time: ? --Pure Info: (in progress) ?? --AlwaysDiscardElf: (may not work anymore) Discards every turn. Was for testing. Other plans: • Refactor code. (In progress.) • Faster games? Code structure: • SolverElf simulates/manages the games. For each turn, she asks an AI what to do. This is on GitHub as a personal backup, though I don't mind sharing. If you want to understand the code and it's not clear, please ask. I'm a self-taught coder, and I want to get better. More on Hanabi: • Google it. • Geoff Hom's personal thoughts: • ?
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