Gate: corruption robustness (LavaGapS7)

Project: Trust-Calibrated RL · Environment: MiniGrid-LavaGapS7-v0 · Schema: research.v1 · Published: 2026-08-21

Research question

How does PPO performance on LavaGapS7 degrade under observation corruption, and does corruption-trained robustness transfer to held-out corruption families?

Results (EVALUATION metrics — aggregates computed from recorded episodes only)

ArmCorruptionAttack exposureSuccessMean returnSafety failuresEpisodesRun
Clean PPO mask @ p=0.5 HELD OUT 70.0% 0.459 23.3% 30 seed 1 · greedy · rrun_fc7aa8c2b3194989
Mask-trained PPO shuffle @ p=0.5 HELD OUT 40.0% 0.368 60.0% 20 seed 1 · greedy · rrun_da0905c5bde04d41
Mask-trained PPO mask @ p=0.5 SEEN IN TRAINING 100.0% 0.897 0.0% 20 seed 1 · greedy · rrun_aae3690edc724057
Clean PPO mask @ p=0.5 HELD OUT 65.0% 0.457 30.0% 20 seed 1 · greedy · rrun_ac511e21bbfb4edd
Clean PPO none 100.0% 0.949 0.0% 20 seed 1 · greedy · rrun_55e7887b7c234d6f

Training and evaluation metrics are recorded separately; a stochastic training rollout is never presented as a controlled evaluation. Trust calibration and protective actions (ACT/VERIFY/DEFER/ABSTAIN) are research milestones — not implemented, and no values for them are shown anywhere.

Recorded episodes (published step traces, schema research.v1)

Provenance

Every run records seeds, package versions, checkpoint SHA-256 hashes, and upstream code provenance. Manifest: manifest.json · Full record: experiment.json · Citation: citation.json

Cite this experiment

Gate: corruption robustness (LavaGapS7). TraceVox Research experiment record, 2026. https://tracevox.ai/research/experiments/gate-corruption-robustness-lavagaps7

@misc{tracevoxgatecorruptionrobustnesslavagaps,
  title = {Gate: corruption robustness (LavaGapS7)},
  howpublished = {\url{https://tracevox.ai/research/experiments/gate-corruption-robustness-lavagaps7}},
  year = {2026},
  note = {TraceVox Research experiment record, bundle tracevox.public.bundle.v1}
}

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