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Steven C. Nesbit

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#machine learning Preprint Sep 2026

All On-Board: Fully On-Chip Neuromorphic Q-Learning with Embedded CartPole Simulation

This contribution presents the design and implementation of a fully on-chip, closed-loop Loihi 2 RL agent, demonstrating the viability of RL on neuromorphic hardware and highlighting its promise for building energy-efficient, real-time, embedded AI systems.

Steven C. Nesbit, Giovanni T. Michel, G. Kunde et al. · 1 citation
#artificial intelligence Preprint Aug 2026

Low-Power, Neuromorphic, Acoustic Anomaly Detection for Persistent Machine Monitoring

The results support neuromorphic acoustic anomaly detection as a practical candidate for low-power, persistent machine monitoring and support autoencoder-based acoustic anomaly detection on an Intel Loihi 2 neuromorphic processor.

Steven C. Nesbit, Victor M. Vergara, Michael A. Felix et al. · 0 citations

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