Counterfactual debugging scales sim2real failure diagnosis to 1M steps in world models
sarahcat21 · x · 2026-09-03
Researchers propose Counterfactual Debugging to diagnose why world-model-trained agents fail in deployment, using causal attribution over simulated counterfactuals to pinpoint safety failures. The key advance: a divide-and-conquer approach scales counterfactual debugging to 1M steps, making it practical to locate the true sim2real gap.
Related event: Counterfactual Debugging Pins Down Sim2Real Failures at Million-Step Scale(4 posts)→
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