Nishanth Kumar

Preference-Conditioned Language-Guided Abstraction

Learning from demonstrations is a common paradigm for users to teach robots but is prone to spurious feature correlations. Recent work constructs state abstractions, i.e. visual representations containing only task-relevant features, from language as a way to perform more generalizable learning. However, these abstrac…