{"data":{"id":"7f6eecb0-7b6a-49b8-9067-bad0a63441c0","title":"On the Equilibrium Between Feasible Zone and Uncertain Model in Safe Exploration","summary":"This paper argues that the goal of safe exploration in reinforcement learning is to reach an equilibrium between the feasible zone and the environment model, since each improves the other. It proposes safe equilibrium exploration (SEE), which alternates between finding the maximum feasible zone and the least uncertain model, and proves that the model is monotonically refined and the feasible zones monotonically expand toward equilibrium. On classic control tasks, the authors report that SEE expands feasible zones with zero constraint violation and reaches equilibrium within a few iterations.","solution":"N/A -- no mitigation discussed in source.","labels":["research","safety"],"sourceUrl":"http://ieeexplore.ieee.org/document/11419867","publishedAt":"2026-03-03T13:18:19.000Z","cveId":null,"cweIds":null,"cvssScore":null,"cvssSeverity":null,"severity":"info","attackType":[],"issueType":"research","affectedPackages":null,"affectedPackageNames":null,"affectedPackageRefs":null,"affectedVendors":[],"affectedVendorsRaw":[],"classifierModel":"claude-haiku-5-5","classifierPromptVersion":"v4","summaryPromptVersion":"v2","headline":null,"headlinePromptVersion":null,"cvssVector":null,"attackVector":null,"attackComplexity":null,"privilegesRequired":null,"userInteraction":null,"exploitMaturity":null,"epssScore":null,"epssCheckedAt":null,"kevDateAdded":null,"advisoryAliases":null,"affectedPackagesSource":null,"affectedPackagesCheckedAt":null,"patchAvailable":null,"disclosureDate":"2026-03-03T13:18:19.000Z","fixReleasedAt":null,"daysToFix":null,"fixCheckedAt":null,"capecIds":null,"crossRefCount":0,"attackSophistication":"moderate","impactType":null,"aiComponentTargeted":null,"llmSpecific":false,"classifierConfidence":0.75,"researchCategory":"peer_reviewed","atlasIds":null}}