Simulations of Hanabi strategies

Hanabi is a cooperative card game of incomplete information. Despite relatively simple rules, the space of Hanabi strategies is quite interesting.

This repository provides a framework for implementing Hanabi strategies. It also explores some implementations, based on ideas from this paper.

In particular, it contains a variant of their "information strategy", with some improvements. This strategy achieves the best results I am aware of for n > 2 (see below).

Please contact me if:

• You know of other interesting/good strategy ideas!
• Have questions about the framework or existing strategies

Some similar projects I am aware of:

• https://github.com/rjtobin/HanSim (written for the paper mentioned above)
• https://github.com/Quuxplusone/Hanabi

Setup

Install rust/rustc and cargo, and change the options in main.rs appropriately.

cargo run -- -h

Usage: target/debug/rust_hanabi [options]

Options:
    -l, --loglevel LOGLEVEL
                        Log level, one of 'trace', 'debug', 'info', 'warn',
                        and 'error'
    -n, --ntrials NTRIALS
                        Number of games to simulate (default 1)
    -t, --nthreads NTHREADS
                        Number of threads to use for simulation (default 1)
    -s, --seed SEED     Seed for PRNG (default random)
    -p, --nplayers NPLAYERS
                        Number of players
    -g, --strategy STRATEGY
                        Which strategy to use. One of 'random', 'cheat', and
                        'info'
    -h, --help          Print this help menu

For example,

cargo run -- -n 10000 -s 0 -t 2 -p 5 -g cheat

Or, if the simulation is slow (as the info strategy is),

cargo run --release -- -n 10000 -s 0 -t 2 -p 5 -g info

Results

Currently, on seeds 0-9999, we have:

        |   2p    |   3p    |   4p    |   5p    |

------------|---------|---------|---------|---------| cheating | 24.8600 | 24.9781 | 24.9715 | 24.9583 | information | 18.5726 | 23.8806 | 24.7722 | 24.8756 |

To reproduce:

n=1000000
for strategy in info cheat; do
  for p in $(seq 2 5); do
    time cargo run --release -- -n $n -s 0 -t 4 -p $p -g $strategy;
  done
done