This is the implementation of all experiments conducted for the ICLR 2018 paper Learning Deep Mean Field Games for Modeling Large Population Behavior
ac_irl.py is the main code for maximum entropy inverse reinforcement learning and a standard actor-critic RL solver.
mfg_ac2.py is an alternative version that implements the same forward RL solver for a pre-specified reward function.
rlbot_twitter (not currently maintained) was used to collect population data for these experiments.