Code for the paper "Learning to Correlate in Multi-Player General-Sum Sequential Games" (published on ariXiv and NeurIPS).
The entry point of the code is the python script runner.py.
It currently supports {CFR, CFR+, CFR-S, CFR-Jr} as regret-minimization algorithms, which can be run on instances of the the games of {Kuhn, Leduc, Goofspiel, Random, Hanabi}.
Run the command python runner.py --help for more detailed information on the usage.