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ORCIDPietro Mazzaglia
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2020 – today
- 2024
[j5]Toon Van de Maele, Tim Verbelen, Pietro Mazzaglia, Stefano Ferraro, Bart Dhoedt:
Object-Centric Scene Representations Using Active Inference. Neural Comput. 36(4): 677-704 (2024)- [j4]Pietro Mazzaglia
, Nicholas Backshall, Xiao Ma, Stephen James:
Redundancy-Aware Action Spaces for Robot Learning. IEEE Robotics Autom. Lett. 9(8): 6912-6919 (2024) - [c9]Pietro Mazzaglia, Taco Cohen, Daniel Dijkman:
Information-driven Affordance Discovery for Efficient Robotic Manipulation. ICRA 2024: 7780-7787 - [i17]Pietro Mazzaglia, Taco Cohen, Daniel Dijkman:
Information-driven Affordance Discovery for Efficient Robotic Manipulation. CoRR abs/2405.03865 (2024) - [i16]Pietro Mazzaglia, Nicholas Backshall, Xiao Ma, Stephen James:
Redundancy-aware Action Spaces for Robot Learning. CoRR abs/2406.04144 (2024) - [i15]Pietro Mazzaglia, Tim Verbelen, Bart Dhoedt, Aaron C. Courville, Sai Rajeswar:
Multimodal foundation world models for generalist embodied agents. CoRR abs/2406.18043 (2024) - [i14]Stefano Ferraro, Pietro Mazzaglia, Tim Verbelen, Bart Dhoedt, Sai Rajeswar:
Representing Positional Information in Generative World Models for Object Manipulation. CoRR abs/2409.12005 (2024) - 2023
- [c8]Pietro Mazzaglia, Tim Verbelen, Bart Dhoedt, Alexandre Lacoste, Sai Rajeswar:
Choreographer: Learning and Adapting Skills in Imagination. ICLR 2023 - [c7]Sai Rajeswar, Pietro Mazzaglia, Tim Verbelen, Alexandre Piché, Bart Dhoedt, Aaron C. Courville, Alexandre Lacoste:
Mastering the Unsupervised Reinforcement Learning Benchmark from Pixels. ICML 2023: 28598-28617 - [i13]Toon Van de Maele, Tim Verbelen, Pietro Mazzaglia, Stefano Ferraro, Bart Dhoedt:
Object-Centric Scene Representations using Active Inference. CoRR abs/2302.03288 (2023) - [i12]Mattijs Baert, Pietro Mazzaglia, Sam Leroux, Pieter Simoens:
Maximum Causal Entropy Inverse Constrained Reinforcement Learning. CoRR abs/2305.02857 (2023) - [i11]Stefano Ferraro, Pietro Mazzaglia, Tim Verbelen, Bart Dhoedt:
FOCUS: Object-Centric World Models for Robotics Manipulation. CoRR abs/2307.02427 (2023) - [i10]Pietro Mazzaglia, Taco Cohen, Daniel Dijkman:
Uncertainty-driven Affordance Discovery for Efficient Robotics Manipulation. CoRR abs/2308.14915 (2023) - [i9]Daria de Tinguy, Sven Remmery, Pietro Mazzaglia, Tim Verbelen, Bart Dhoedt:
Learning to Navigate from Scratch using World Models and Curiosity: the Good, the Bad, and the Ugly. CoRR abs/2308.15852 (2023) - 2022
- [j3]Pietro Mazzaglia, Tim Verbelen, Ozan Çatal, Bart Dhoedt:
The Free Energy Principle for Perception and Action: A Deep Learning Perspective. Entropy 24(2): 301 (2022) - [j2]Stefano Ferraro, Toon Van de Maele, Pietro Mazzaglia, Tim Verbelen, Bart Dhoedt:
Computational Optimization of Image-Based Reinforcement Learning for Robotics. Sensors 22(19): 7382 (2022) - [c6]Pietro Mazzaglia, Ozan Çatal, Tim Verbelen, Bart Dhoedt:
Curiosity-Driven Exploration via Latent Bayesian Surprise. AAAI 2022: 7752-7760 - [c5]Stefano Ferraro, Toon Van de Maele, Pietro Mazzaglia, Tim Verbelen, Bart Dhoedt:
Disentangling Shape and Pose for Object-Centric Deep Active Inference Models. IWAI 2022: 32-49 - [c4]Daria de Tinguy, Pietro Mazzaglia, Tim Verbelen, Bart Dhoedt:
Home Run: Finding Your Way Home by Imagining Trajectories. IWAI 2022: 210-221 - [i8]Pietro Mazzaglia, Tim Verbelen, Ozan Çatal, Bart Dhoedt:
The Free Energy Principle for Perception and Action: A Deep Learning Perspective. CoRR abs/2207.06415 (2022) - [i7]Daria de Tinguy, Pietro Mazzaglia, Tim Verbelen, Bart Dhoedt:
Home Run: Finding Your Way Home by Imagining Trajectories. CoRR abs/2208.10914 (2022) - [i6]Stefano Ferraro, Toon Van de Maele, Pietro Mazzaglia, Tim Verbelen, Bart Dhoedt:
Disentangling Shape and Pose for Object-Centric Deep Active Inference Models. CoRR abs/2209.09097 (2022) - [i5]Sai Rajeswar, Pietro Mazzaglia, Tim Verbelen, Alexandre Piché, Bart Dhoedt, Aaron C. Courville, Alexandre Lacoste:
Unsupervised Model-based Pre-training for Data-efficient Control from Pixels. CoRR abs/2209.12016 (2022) - [i4]Pietro Mazzaglia, Tim Verbelen, Bart Dhoedt, Alexandre Lacoste, Sai Rajeswar:
Choreographer: Learning and Adapting Skills in Imagination. CoRR abs/2211.13350 (2022) - 2021
- [j1]Orazio Tomarchio, Domenico Calcaterra, Giuseppe Di Modica, Pietro Mazzaglia:
TORCH: a TOSCA-Based Orchestrator of Multi-Cloud Containerised Applications. J. Grid Comput. 19(1): 5 (2021) - [c3]Pietro Mazzaglia, Tim Verbelen, Bart Dhoedt:
Contrastive Active Inference. NeurIPS 2021: 13870-13882 - [i3]Pietro Mazzaglia, Ozan Çatal, Tim Verbelen, Bart Dhoedt:
Self-Supervised Exploration via Latent Bayesian Surprise. CoRR abs/2104.07495 (2021) - [i2]Samuel T. Wauthier, Pietro Mazzaglia, Ozan Çatal, Cedric De Boom, Tim Verbelen, Bart Dhoedt:
A learning gap between neuroscience and reinforcement learning. CoRR abs/2104.10995 (2021) - [i1]Pietro Mazzaglia, Tim Verbelen, Bart Dhoedt:
Contrastive Active Inference. CoRR abs/2110.10083 (2021) - 2020
- [c2]Domenico Calcaterra, Giuseppe Di Modica, Pietro Mazzaglia, Orazio Tomarchio:
Enabling Container Cluster Interoperability using a TOSCA Orchestration Framework. CLOSER 2020: 127-137 - [c1]Domenico Calcaterra, Giuseppe Di Modica, Pietro Mazzaglia, Orazio Tomarchio:
Cluster-Agnostic Orchestration of Containerised Applications. CLOSER (Selected Papers) 2020: 301-324
Coauthor Index
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last updated on 2024-10-18 19:30 CEST by the dblp team
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