Before revision:  To this end, we propose mean field inverse reinforcement learning (MFIRL), a novel model-free IRL framework for MFG . We derive the algorithm based on a new equilibrium concept that incorporates entropy regularization, and the maximum entropy IRL framework.
After revision:  To this end, we propose mean field inverse reinforcement learning (MFIRL), a novel model-free IRL framework for MFG , called Mean Field IRL (MFIRL), where we build upon a new equilibrium concept that incorporates entropy regularization, and the maximum entropy IRL framework.