Density Matching Reward Learning

12 Aug 2016Sungjoon ChoiKyungjae LeeAndy ParkSonghwai Oh

In this paper, we focus on the problem of inferring the underlying reward function of an expert given demonstrations, which is often referred to as inverse reinforcement learning (IRL). In particular, we propose a model-free density-based IRL algorithm, named density matching reward learning (DMRL), which does not require model dynamics... (read more)

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