137 citations · 211 across the 6 of their papers we have counts for
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cs.LG2023★ 2 cited
Learning non-Markovian Decision-Making from State-only Sequences
Aoyang Qin, Feng Gao, Qing Li +2
Conventional imitation learning assumes access to the actions of demonstrators, but these motor signals are often non-observable in naturalistic settings. Additionally, sequential…
cs.LG2020
Generalized Inverse Planning: Learning Lifted non-Markovian Utility for Generalizable Task Representation
Sirui Xie, Feng Gao, Song-Chun Zhu
In searching for a generalizable representation of temporally extended tasks, we spot two necessary constituents: the utility needs to be non-Markovian to transfer temporal relatio…