Pietro Mazzaglia

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 30

Top Topics

Uncalibrated Images

Reinforcement Learning

Object Geometry

Top Venues

IEEE Robotics Autom. Lett.

Publications

Toon Van de Maele, Tim Verbelen, Pietro Mazzaglia, Stefano Ferraro, Bart Dhoedt
Object-Centric Scene Representations Using Active Inference. Neural Comput. 36 (4) (2024)
Pietro Mazzaglia, Nicholas Backshall, Xiao Ma, Stephen James
Redundancy-aware Action Spaces for Robot Learning. CoRR (2024)
Pietro Mazzaglia, Tim Verbelen, Bart Dhoedt, Aaron C. Courville, Sai Rajeswar
Multimodal foundation world models for generalist embodied agents. CoRR (2024)
Pietro Mazzaglia, Taco Cohen, Daniel Dijkman
Information-driven Affordance Discovery for Efficient Robotic Manipulation. CoRR (2024)
Pietro Mazzaglia, Nicholas Backshall, Xiao Ma, Stephen James
Redundancy-Aware Action Spaces for Robot Learning. IEEE Robotics Autom. Lett. 9 (8) (2024)
Pietro Mazzaglia, Taco Cohen, Daniel Dijkman
Information-driven Affordance Discovery for Efficient Robotic Manipulation. ICRA (2024)
Stefano Ferraro, Pietro Mazzaglia, Tim Verbelen, Bart Dhoedt
FOCUS: Object-Centric World Models for Robotics Manipulation. CoRR (2023)
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)
Toon Van de Maele, Tim Verbelen, Pietro Mazzaglia, Stefano Ferraro, Bart Dhoedt
Object-Centric Scene Representations using Active Inference. CoRR (2023)
Mattijs Baert, Pietro Mazzaglia, Sam Leroux, Pieter Simoens
Maximum Causal Entropy Inverse Constrained Reinforcement Learning. CoRR (2023)
Pietro Mazzaglia, Tim Verbelen, Bart Dhoedt, Alexandre Lacoste, Sai Rajeswar
Choreographer: Learning and Adapting Skills in Imagination. ICLR (2023)
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 (2023)
Pietro Mazzaglia, Taco Cohen, Daniel Dijkman
Uncertainty-driven Affordance Discovery for Efficient Robotics Manipulation. CoRR (2023)
Stefano Ferraro, Toon Van de Maele, Pietro Mazzaglia, Tim Verbelen, Bart Dhoedt
Disentangling Shape and Pose for Object-Centric Deep Active Inference Models. CoRR (2022)
Daria de Tinguy, Pietro Mazzaglia, Tim Verbelen, Bart Dhoedt
Home Run: Finding Your Way Home by Imagining Trajectories. CoRR (2022)
Pietro Mazzaglia, Ozan Çatal, Tim Verbelen, Bart Dhoedt
Curiosity-Driven Exploration via Latent Bayesian Surprise. AAAI (2022)
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 (2022)
Pietro Mazzaglia, Tim Verbelen, Ozan Çatal, Bart Dhoedt
The Free Energy Principle for Perception and Action: A Deep Learning Perspective. CoRR (2022)
Pietro Mazzaglia, Tim Verbelen, Bart Dhoedt, Alexandre Lacoste, Sai Rajeswar
Choreographer: Learning and Adapting Skills in Imagination. CoRR (2022)
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)
Pietro Mazzaglia, Tim Verbelen, Ozan Çatal, Bart Dhoedt
The Free Energy Principle for Perception and Action: A Deep Learning Perspective. Entropy 24 (2) (2022)
Stefano Ferraro, Toon Van de Maele, Pietro Mazzaglia, Tim Verbelen, Bart Dhoedt
Computational Optimization of Image-Based Reinforcement Learning for Robotics. Sensors 22 (19) (2022)
Daria de Tinguy, Pietro Mazzaglia, Tim Verbelen, Bart Dhoedt
Home Run: Finding Your Way Home by Imagining Trajectories. IWAI (2022)
Orazio Tomarchio, Domenico Calcaterra, Giuseppe Di Modica, Pietro Mazzaglia
TORCH: a TOSCA-Based Orchestrator of Multi-Cloud Containerised Applications. J. Grid Comput. 19 (1) (2021)
Pietro Mazzaglia, Tim Verbelen, Bart Dhoedt
Contrastive Active Inference. NeurIPS (2021)
Pietro Mazzaglia, Tim Verbelen, Bart Dhoedt
Contrastive Active Inference. CoRR (2021)
Pietro Mazzaglia, Ozan Çatal, Tim Verbelen, Bart Dhoedt
Self-Supervised Exploration via Latent Bayesian Surprise. CoRR (2021)
Samuel T. Wauthier, Pietro Mazzaglia, Ozan Çatal, Cedric De Boom, Tim Verbelen, Bart Dhoedt
A learning gap between neuroscience and reinforcement learning. CoRR (2021)
Domenico Calcaterra, Giuseppe Di Modica, Pietro Mazzaglia, Orazio Tomarchio
Enabling Container Cluster Interoperability using a TOSCA Orchestration Framework. CLOSER (2020)
Domenico Calcaterra, Giuseppe Di Modica, Pietro Mazzaglia, Orazio Tomarchio
Cluster-Agnostic Orchestration of Containerised Applications. CLOSER (Selected Papers) (2020)