A Stackelberg game formulation for GPU cloud pricing and scaling identifies an undrainable backlog failure mode and supplies a drainability guardrail that certifies unique stable operating points and safe RL updates.
Safe reinforcement learning via shielding
2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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2026 2verdicts
UNVERDICTED 2representative citing papers
Mechanical conscience is a supervisory filter that minimally corrects baseline AI policies to reduce cumulative deviation from admissible behavioral trajectories under epistemic uncertainty.
citing papers explorer
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A Stackelberg Game Framework with Drainability Guardrails for Pricing and Scaling in Multi-Tenant GPU Cloud Platforms
A Stackelberg game formulation for GPU cloud pricing and scaling identifies an undrainable backlog failure mode and supplies a drainability guardrail that certifies unique stable operating points and safe RL updates.
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Mechanical Conscience: A Mathematical Framework for Dependability of Machine Intelligenc
Mechanical conscience is a supervisory filter that minimally corrects baseline AI policies to reduce cumulative deviation from admissible behavioral trajectories under epistemic uncertainty.