Counterfactual Debugging: causal attribution at 1M steps pinpoints real sim2real failures
MichaelD1729 · x · 2026-09-03
A research thread by Mingxuan0422 introduces Counterfactual Debugging, a method for world-model-trained agents that fail in deployment. Since the true sim2real gap is hard to identify, the approach uses causal attribution at 1M-step scale to pinpoint the actual cause of deployment failures, presented across an 8-part thread.
Related event: Counterfactual Debugging Pins Down Sim2Real Failures at Million-Step Scale(4 posts)→
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