most citedLeveraging class abstraction for commonsense reinforcement learning via residual policy gradient methods

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cs.LG2025

Data Augmentation for Instruction Following Policies via Trajectory Segmentation

Niklas Höpner, Ilaria Tiddi, Herke van Hoof

The scalability of instructable agents in robotics or gaming is often hindered by limited data that pairs instructions with agent trajectories. However, large datasets of unannotat…