Thomas Avé
AI & Computer Vision Engineer @ TrackBox
PhD in Low-Power Reinforcement Learning
- Avé, Thomas, et al. "Quantization-aware Policy Distillation (QPD)."
Deep Reinforcement Learning Workshop, NeurIPS 2022, 9 December, 2022.
- Avé, Thomas, et al. "Policy Compression for Low-Power Intelligent Scaling in Software-Based Network Architectures."
NOMS 2024-2024 IEEE Network Operations and Management Symposium. IEEE, 2024.
- Avé, Thomas, et al. "Policy Compression for Intelligent Continuous Control on Low-Power Edge Devices."
Sensors 24.15 (2024): 4876.
- Avé, Thomas, et al. "Online Adaptation of Compressed Models by Pre-Training and Task-Relevant Pruning"
The 32nd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN), Bruges, Belgium, 9-11 October 2024.
- Avé, Thomas. "Towards Efficient Decision-Making: Policy Compression for Reinforcement Learning on Resource-Constrained Devices" PhD diss., University of Antwerp, Belgium, 2025.