Computational Optimization of Image-Based Reinforcement Learning for Robotics

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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Bibliographic Details
Main Authors: Stefano Ferraro, Toon Van de Maele, Pietro Mazzaglia, Tim Verbelen, Bart Dhoedt
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Sensors
Subjects:
reinforcement learning
neural networks
post-training quantization
quantized-aware training
optimization
Online Access:https://www.mdpi.com/1424-8220/22/19/7382

Internet

https://www.mdpi.com/1424-8220/22/19/7382

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