Scalable Multi-Task Learning through Spiking Neural Networks with Adaptive Task-Switching Policy for Intelligent Autonomous Agents
Fuente:
arXiv
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| Auteurs principaux: | Putra, Rachmad Vidya Wicaksana, Devkota, Avaneesh, Shafique, Muhammad |
|---|---|
| Format: | Preprint |
| Publié: |
2025
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Documents similaires
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MTSpark: Enabling Multi-Task Learning with Spiking Neural Networks for Generalist Agents
par: Devkota, Avaneesh, et autres
Publié: (2024) -
TopSpark: A Timestep Optimization Methodology for Energy-Efficient Spiking Neural Networks on Autonomous Mobile Agents
par: Putra, Rachmad Vidya Wicaksana, et autres
Publié: (2023) -
SNN4Agents: A Framework for Developing Energy-Efficient Embodied Spiking Neural Networks for Autonomous Agents
par: Putra, Rachmad Vidya Wicaksana, et autres
Publié: (2024) -
FastSpiker: Enabling Fast Training for Spiking Neural Networks on Event-based Data through Learning Rate Enhancements for Autonomous Embedded Systems
par: Bano, Iqra, et autres
Publié: (2024) -
NeuroNAS: Enhancing Efficiency of Neuromorphic In-Memory Computing for Intelligent Mobile Agents through Hardware-Aware Spiking Neural Architecture Search
par: Putra, Rachmad Vidya Wicaksana, et autres
Publié: (2024)