Academic Bibliography

Search 200 years of publications by Ghent University researchers.

Pietro Mazzaglia

Faculty of Engineering and Architecture > Department of Information technology

Work address: Technologiepark Zwijnaarde 126
9052 Zwijnaarde
Email: Pietro.Mazzaglia@UGent.be
ORCID iD: 0000-0003-3319-5986

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- Conference Paper
- open access
Chunking space and time with information geometry

Tim Verbelen (UGent) , Daria de Tinguy (UGent) , Pietro Mazzaglia (UGent) , Ozan Catal (UGent) and A. Safron

(2022)
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- Journal Article
- A1
- open access
Computational optimization of image-based reinforcement learning for robotics

Stefano Ferraro (UGent) , Toon Van de Maele (UGent) , Pietro Mazzaglia (UGent) , Tim Verbelen (UGent) and Bart Dhoedt (UGent)

(2022) SENSORS. 22(19).
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Unsupervised model-based pre-training for data-efficient reinforcement learning from pixels

Sai Rajeswar, Pietro Mazzaglia (UGent) , Tim Verbelen (UGent) , Alexandre Piché, Bart Dhoedt (UGent) , Aaron Courville and Alexandre Lacoste

(2022) Decision Awareness in Reinforcement Learning : workshop at the International Conference on Machine Learning (ICML) 2022, Proceedings.
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- Journal Article
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The free energy principle for perception and action : a deep learning perspective

Pietro Mazzaglia (UGent) , Tim Verbelen (UGent) , Ozan Catal (UGent) and Bart Dhoedt (UGent)

(2022) ENTROPY. 24(2).
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Curiosity-driven exploration via latent Bayesian surprise

Pietro Mazzaglia (UGent) , Ozan Catal (UGent) , Tim Verbelen (UGent) and Bart Dhoedt (UGent)

(2022) PROCEEDINGS OF THE AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE. 36(7). p.7752-7760
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- Conference Paper
- C1
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Contrastive active inference

Pietro Mazzaglia (UGent) , Tim Verbelen (UGent) and Bart Dhoedt (UGent)

(2021) NeurIPS 2021, 5th Conference on Neural Information Processing Systems, Proceedings. In Advances in neural information processing systems 34.
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A learning gap between neuroscience and reinforcement learning

Samuel Wauthier (UGent) , Pietro Mazzaglia (UGent) , Ozan Catal (UGent) , Cedric De Boom (UGent) , Tim Verbelen (UGent) and Bart Dhoedt (UGent)

(2021) BRAIN2AI, How Can Findings About The Brain Improve AI Systems, ICLR 2021 Workshop, Proceedings.
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- Conference Paper
- C1
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Self-supervised exploration via latent Bayesian surprise

Pietro Mazzaglia (UGent) , Ozan Catal (UGent) , Tim Verbelen (UGent) and Bart Dhoedt (UGent)

(2021) ICLR 2021, Self-supervision for Reinforcement Learning, Proceedings.