SynIL: Leveraging Synergy for Offline Imitation Learning from Imperfect Demonstration Datasets
Synergy-based Imitation Learning is introduced, a novel framework for automated, label-free demonstration quality assessment in offline reinforcement learning and achieves performance comparable to, and in sparse-reward human teleoperation scenarios, superior to, offline reinforcement learning trained on true environme...
Yuto Tanaka, Kyo Kutsuzawa, Martina Doku et al.
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