Self-Supervised Skill Learning for Semi-Supervised Long-Horizon Instruction Following by Benhui Zhuang, Chunhong Zhang, Zheng Hu

“…This paper addresses the challenge of learning such an agent under the scarcity of language annotations. One approach for leveraging unannotated data is to generate pseudo-labels for unannotated trajectories using sparse seed annotations. …”
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