In order to approximate the Reward Boltzmann distribution towards the "real" data distribution p * (W ), we design a min-max two-player game, where the Reward Boltzmann distribution p θ aims at maximizing the its similarity with empirical distribution p e while minimizing that with the "faked" data generated from policy model π β .
the policy distribution π β tries to maximize its similarity with the Boltzmann distribution p θ .