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Ethan Pronovost

2 accepted papers

2026

Difference-Aware Retrieval Polices for Imitation Learning

ICLR 2026poster

Behavior cloning suffers from poor generalization to out-of-distribution states due to compounding errors during deployment. We present Difference-Aware Retrieval Polices for Imitation Learning (DARP), a novel nearest-neighbor-based imitation learning approach that addresses this limitation by repar…

Cited by 0SourceScholar
2023

Scenario Diffusion: Controllable Driving Scenario Generation With Diffusion

NeurIPS 2023poster

Automated creation of synthetic traffic scenarios is a key part of scaling the safety validation of autonomous vehicles (AVs). In this paper, we propose Scenario Diffusion, a novel diffusion-based architecture for generating traffic scenarios that enables controllable scenario generation. We combine…

Cited by 35SourcePDFScholar