arXiv:2611.13182v1 Announce Type: new Abstract: Deep reinforcement learning (DRL) methods have been the dominant paradigm in continuous control tasks due to their efficacy in function approximation, while interpretable evolutionary methods have lagged largely behind for the opposite reason. In this work, we introduce Symbolic Imitation Learning, a framework for distilling an oracle policy through an offline dataset into a decision list with linear model motion primitives.
Machine Learning · 2026-11-11
Making Strides in Symbolic Imitation Learning: Offline Demonstrations, Online Tuning
arXiv:2611.13182v1 Announce Type: new Abstract: Deep reinforcement learning (DRL) methods have been the dominant paradigm in continuous control tasks due to their efficacy in function approximation, while interpretable evolutionary methods have lagged largely behind for the opposite reason.
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