Before revision:  Experimental results on simulated environments demonstrate that MFIRL is sample efficient and can accurately recover the ground-truth reward functions , compared to the state-of-the-art method.
After revision:  Experimental results on simulated environments demonstrate that MFIRL is sample efficient and can accurately recover the ground-truth ) reward functions for MFG. Experiments show the superior performance of MFIRL on sample efficiency, reward recovery and robustness against varying environment dynamics , compared to the state-of-the-art method.