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:  Crucially, MFIRL is brought forward as the first IRL method that can recover the agent-level ( ground-truth reward functions , compared to the state-of-the-art method.