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Computational Optimization of Image-Based Reinforcement Learning for Robotics

The robotics field has been deeply influenced by the advent of deep learning. In recent years, this trend has been characterized by the adoption of large, pretrained models for robotic use cases, which are not compatible with the computational hardware available in robotic systems. Moreover, such la...

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Principais autores: Stefano Ferraro, Toon Van de Maele, Pietro Mazzaglia, Tim Verbelen, Bart Dhoedt
Formato: Artigo
Idioma:Inglês
Publicado em: MDPI AG 2022-09-01
coleção:Sensors
Assuntos:
reinforcement learning
neural networks
post-training quantization
quantized-aware training
optimization
Acesso em linha:https://www.mdpi.com/1424-8220/22/19/7382
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