Dedicated reward models for driving probed at ssad2026, but reliability falls short
abursuc · x · 2026-09-16
Research presented at #ssad2026 explores dedicated reward models for driving, targeting crashes, near-crashes, and suboptimal driving. But the author candidly notes these aren't quite reliable yet — reliability takes different forms across tasks like semantic segmentation, 3D reconstruction, and HD map prediction.
Related event: SSAD 2026 Explores LLM-Style Think-Ahead Supervision for Autonomous Driving(3 posts)→
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