153 citations · 461 across the 14 of their papers we have counts for
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cs.LG2022★ 2 cited
Learning Options via Compression
Yiding Jiang, Evan Zheran Liu, Benjamin Eysenbach +2
Identifying statistical regularities in solutions to some tasks in multi-task reinforcement learning can accelerate the learning of new tasks. Skill learning offers one way of iden…
cs.LG2022★ 10 cited
Agreement-on-the-Line: Predicting the Performance of Neural Networks under Distribution Shift
Christina Baek, Yiding Jiang, Aditi Raghunathan +1
Recently, Miller et al. showed that a model's in-distribution (ID) accuracy has a strong linear correlation with its out-of-distribution (OOD) accuracy on several OOD benchmarks --…