AI RESEARCH
The Informational Cost of Agency: A Bounded Measure of Interaction Efficiency for Deployed Reinforcement Learning
arXiv CS.AI
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ArXi:2603.01283v2 Announce Type: replace Deployed RL agents operate in closed-loop systems where reliable performance depends on maintaining coherent coupling between observations, actions, and outcomes. Current monitoring approaches rely on reward and task metrics, measures that are reactive by design and blind to structural degradation that precedes performance collapse.