Tag: ml-systems

Feb 06, 20267 min readAgent PlaybookIntermediate5 min build

InterPReT: Interactive policy restructuring enables laypersons to train more robust imitation policies

InterPReT lets lay users restructure a policy via instructions and continue training from demonstrations. In a 34-user racing game study it improved robustness without hurting usability.

imitation-learning human-in-the-loop interactive-training hci interpretability

+2 more

ml-systems arxiv-2602.04213