Hi, I'm Thomas Avé.
AI & Computer Vision Engineer @ TrackBox
I hold a PhD in Low-Power Reinforcement Learning. I bridge the gap between complex intelligent scaling and resource-constrained edge devices.
I hold a PhD in Low-Power Reinforcement Learning. I bridge the gap between complex intelligent scaling and resource-constrained edge devices.
Policy Compression for Reinforcement Learning on Resource-Constrained Devices. PhD diss., University of Antwerp.
Compressing a Policy in Space and Time.
Published in Machine Learning 114.11.
Focus on Low-Power Edge Devices. Published in Sensors 24.15 (2024): 4876.
Software-Based Network Architectures. Presented at IEEE Network Operations and Management Symposium.
Pre-Training and Task-Relevant Pruning.
Presented at 32nd European Symposium on Artificial Neural Networks.
Deep Reinforcement Learning Workshop.