An encoder-decoder imitation learning model with nearest-neighbor retrieval and cross-attention priors shows consistent gains over non-adaptive and other adaptive baselines on a semi-synthetic Waymo-based dataset and a small real simulator coaching dataset.
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Spatio-Temporal Retrieval-based Priors for Adaptive Computational Teaching in Driving
An encoder-decoder imitation learning model with nearest-neighbor retrieval and cross-attention priors shows consistent gains over non-adaptive and other adaptive baselines on a semi-synthetic Waymo-based dataset and a small real simulator coaching dataset.