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Pre-registration (frozen 11 Nov 2026): is the wear cost of exploration in onboard RL schedulers specific to epsilon-greedy? Policy, task-count and noise extension of doi:10.31224/8438

Year: 2026

Type: article

Abstract: Frozen protocol, decision code, simulator harness and planted-effect table for a pre-registered extension of the preprint on exploration-induced battery wear (engrXiv doi 10.31224/8438), deposited before the confirmatory run. Tests whether decaying-epsilon, UCB1 and Thompson sampling also cost wear at a fixed delivered reward, how the cost scales with the number of tasks, and its dependence on observation noise. Simulation only.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.24135638

Author: Goodman, John

Language: English

Topic: Reinforcement Learning in Robotics

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W7225813716

FWCI:

Cites: 2

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