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finite-shot learning 1measurement data preprocessing 1regularization 1shot grouping 1superconducting processors 1

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cs.RO2024

Optimizing Sensor Redundancy in Sequential Decision-Making Problems

Jonas Nüßlein, Maximilian Zorn, Fabian Ritz +5

Reinforcement Learning (RL) policies are designed to predict actions based on current observations to maximize cumulative future rewards. In real-world applications (i.e., non-simu…