Model-Free Runtime Measurement of Task-Relevant Information
Model-Free Runtime Measurement of Task-Relevant Information
This paper introduces Acquisition-State Telemetry (AST), a model-free architecture designed to monitor the live process of information gathering in autonomous systems.
The authors introduce Acquisition-State Telemetry (AST), a model-free architecture that monitors information acquisition progress and friction in real time across eight diverse domains, showing that penalizing informational friction improves mission success in closed-loop reinforcement learning experiments.
Source: arXiv Robotics — research abstracts · Read original article ↗
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h are processed by a fixed causal monitor. This monitor emits two continuous real time signals that quantify (i) prospective progress across unresolved requirements and (ii) informational friction generated when recurrent evidence yields negligible informational gain. We evaluated a single, unadjusted monitor configuration across eight diverse domains including search and rescue dialogue, spatial grid exploration, hi
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h are processed by a fixed causal monitor. This monitor emits two continuous real time signals that quantify (i) prospective progress across unresolved requirements and (ii) informational friction generated when recurrent evidence yields negligible informational gain. We evaluated a single, unadjusted monitor configuration across eight diverse domains including search and rescue dialogue, spatial grid exploration, hi
Open source S4
erarchical capability acquisition, continuous robotic manipulation, and probabilistic intent estimation. We show that across these domains the friction channel distinguished unproductive stagnation from purposeful exploration prior to task completion, while remaining muted during post completion activity. Furthermore, in closed loop reinforcement learning experiments under early termination constraints, we demonstrat
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e that penalizing informational friction allowed agents to sustain high mission success, whereas unpenalized policies and baselines with matched operational costs failed to complete required tasks.
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Source：arXiv Robotics — research abstracts · arxiv.org