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The Regretful Agent: Heuristic-Aided Navigation Through Progress Estimation

CVPR 2019 · Vision-language and multimodal › Robot action and navigation · approach: Reasoning-enhanced vision-language navigation · 174 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
add learned Regret Module and Progress MarkerGreedy VLN navigation · R2R Test (unseen)SR: 0.43 -> 0.48Helped
add learned Regret Module and Progress MarkerGreedy VLN navigation · R2R Test (unseen)SPL: 0.32 -> 0.40Helped
add learned Regret Module (ablation)Regretful agent · R2R Validation-UnseenSR: 0.44 -> 0.47Helped
add learned Regret Module (ablation)Regretful agent · R2R Validation-UnseenSPL: 0.32 -> 0.37Helped
add Progress Marker alongside Regret Module (ablation)Regretful agent · R2R Validation-UnseenSR: 0.47 -> 0.48Helped
add Progress Marker alongside Regret Module (ablation)Regretful agent · R2R Validation-UnseenSPL: 0.37 -> 0.37No clear effect
block rollback actions (ablation)Regretful agent · R2R Validation-UnseenSR: 0.48 -> 0.46Hurt
block rollback actions (ablation)Regretful agent · R2R Validation-UnseenSPL: 0.37 -> 0.41Helped
block rollback actions (ablation)Self-Monitoring · R2R Validation-UnseenSR: 0.44 -> 0.44No clear effect
train on synthetic rather than real data (ablation)Regretful agent · R2R Validation-UnseenSR: 0.48 -> 0.41Hurt
train on synthetic rather than real data (ablation)Regretful agent · R2R Validation-UnseenOSR: 0.61 -> 0.58Hurt

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