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Hanabi

This is a program that plays Hanabi.

The main AI is contained in the directory alphahanabi. It is optimized for 5-player games, but it also plays well 4-player games. A sample (stupid) AI is provided in the directory dummy. An additional stronger AI is contained in the directory deltahanabi.

Performance

Here are the average scores and win rates for the standard 50-card deck (5 colors) and for the "black" 55-card variant (6 colors, where the 6th color has 1 copy of each card).

Average scores

AI standard 4 players standard 5 players black 4 players black 5 players
alphahanabi (moderate) 22.40 23.25 24.87 26.56
alphahanabi (hard) - 24.26 - 27.67
alphahanabi (hardest) 24.67 24.75 28.47 28.82
deltahanabi 24.57 24.95 28.36 29.39

Win rates

AI standard 4 players standard 5 players black 4 players black 5 players
alphahanabi (moderate) 6.3 % 12.4 % 0.2 % 1.2 %
alphahanabi (hard) - 54.4 % - 16.2 %
alphahanabi (hardest) 76.4 % 80.5 % 32.0 % 40.7 %
deltahanabi 72.9 % 95.9 % 38.2 % 65.7 %

Requirements

  • Python 2.7
  • The termcolor Python module (install command: pip install termcolor)
  • The blessings Python module (install command: pip install blessings)

Run a new game

python run_game.py

Command line options

  • -n NUM_PLAYERS set number of players (default is 5)
  • -a AI_DIRECTORY choose AI (default is alphahanabi)
  • -p DIFFICULTY choose difficulty level for alphahanabi (possible values: moderate, hard, hardest; default is hardest)
  • -c run the game without pausing (otherwise, by default, each new turn is played by pressing ENTER)
  • -s activate the strategy log
  • -t print a shorter log of turns and status
  • -l FILE_NAME load the initial deck from the given file (otherwise, by default, the initial deck is shuffled randomly)
  • -d FILE_NAME dump the initial deck to the given file (default is deck.txt)
  • -r SCORE run many games, until a score <= to the given score is reached
  • -i run in interactive mode
  • -q quit immediately after showing the initial cards (not in interactive mode)

Run many games and print statistics

python test.py

or (much faster)pypy test.py

Command line options

  • -n NUM_PLAYERS set number of players (default is 5)
  • -m NUM_GAMES set number of games (default is 1000)
  • -a AI_DIRECTORY choose AI (default is alphahanabi)
  • -p DIFFICULTY choose difficulty level for alphahanabi (possible values: moderate, hard, hardest; default is hardest)
  • -d DECK_TYPE choose deck type (possible values: standard for the standard 50-card deck, black for the 55-card deck)

Challenge QuickStart

First run, saving the deck and seeing the cards:

python run_game.py -d FILE_NAME -q

Second run, loading the deck and running the game without showing cards:

python run_game.py -l FILE_NAME -p DIFFICULTY -t -i

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A program that plays Hanabi

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