The paper proposes an Adaptive Safety Architecture with a mutual-information-based Compound Uncertainty Coefficient, MaxInfoRL policies, and adaptive constraints to actively resolve compound epistemic uncertainty in RL rather than passively enduring it.
arXiv preprint arXiv:2507.00257 (2025)
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Breaking the Epistemic Trap: Active Perception Under Compound Uncertainty
The paper proposes an Adaptive Safety Architecture with a mutual-information-based Compound Uncertainty Coefficient, MaxInfoRL policies, and adaptive constraints to actively resolve compound epistemic uncertainty in RL rather than passively enduring it.