Neurorobotic reinforcement learning for domains with parametrical uncertainty

Neuromorphic hardware paired with brain-inspired learning strategies have enormous potential for robot control. Explicitly, these advantages include low energy consumption, low latency, and adaptability. Therefore, developing and improving learning strategies, algorithms, and neuromorphic hardware i...

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Principais autores:	Lana Amaya, Axel von Arnim
פורמט:	Artigo
שפה:	Inglês
יצא לאור:	Frontiers Media S.A. 2023-10-01
סדרה:	Frontiers in Neurorobotics
נושאים:	domain randomization neuromorphic computing neurorobotics reinforcement learning robot control spiking neural networks
גישה מקוונת:	https://www.frontiersin.org/articles/10.3389/fnbot.2023.1239581/full
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