Our Paper, LS-IQ: Implicit Reward Regularization for Inverse Reinforcement Learning was accepted at ICLR! We achieve fast and stable inverse reinforcement learning by using a squared reward regularizer on a mixture distribution between the expert and the policy distribution
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Paper accepted at ICLR!
