All On-Board: Fully On-Chip Neuromorphic Q-Learning with Embedded CartPole Simulation
cs.NE, cs.LG, cs.SY, eess.SY
Submitted: 2026-09-26
Updated: 2026-09-26
Code: https://github.com/nesbitsc/all-on-board-figure1
Terminology
Sources
- Carbontracker: Tracking and Predicting the Carbon Footprint of Training Deep Learning Models
- Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding
- Safe, Multi-Agent, Reinforcement Learning for Autonomous Driving
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