Pietro Mazzaglia

According to our database, Pietro Mazzaglia authored at least 30 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Multi-scale Predictive Representations for Goal-conditioned Reinforcement Learning.

Valliappan Chidambaram Adaikkappan, David Meger, Sai Rajeswar, Pietro Mazzaglia

CoRR, May, 2026

LUMINA: Long-horizon Understanding for Multi-turn Interactive Agents.

Amin Rakhsha, Thomas Hehn, Pietro Mazzaglia, Fabio Valerio Massoli, Arash Behboodi, Tribhuvanesh Orekondy

CoRR, January, 2026

2025

Hybrid Training for Vision-Language-Action Models.

Pietro Mazzaglia, Cansu Sancaktar, Markus Peschl, Daniel Dijkman

CoRR, October, 2025

From Code to Action: Hierarchical Learning of Diffusion-VLM Policies.

Markus Peschl, Pietro Mazzaglia, Daniel Dijkman

CoRR, September, 2025

Focusing on What Matters: Object-Agent-centric Tokenization for Vision Language Action models.

Rokas Bendikas, Daniel Dijkman, Markus Peschl, Sanjay Haresh, Pietro Mazzaglia

CoRR, September, 2025

Maximum causal entropy inverse constrained reinforcement learning.

Mattijs Baert, Pietro Mazzaglia, Sam Leroux, Pieter Simoens

Mach. Learn., April, 2025

FOCUS: object-centric world models for robotic manipulation.

Stefano Ferraro, Pietro Mazzaglia, Tim Verbelen, Bart Dhoedt

Frontiers Neurorobotics, 2025

Representing Positional Information in Generative World Models for Object Manipulation.

Stefano Ferraro, Pietro Mazzaglia, Tim Verbelen, Bart Dhoedt, Sai Rajeswar

Proceedings of the ECAI 2025 - 28th European Conference on Artificial Intelligence, 25-30 October 2025, Bologna, Italy, 2025

2024

Redundancy-Aware Action Spaces for Robot Learning.

Pietro Mazzaglia, Nicholas Backshall, Xiao Ma, Stephen James

IEEE Robotics Autom. Lett., August, 2024

Object-Centric Scene Representations Using Active Inference.

Toon Van de Maele, Tim Verbelen, Pietro Mazzaglia, Stefano Ferraro, Bart Dhoedt

Neural Comput., April, 2024

Multimodal foundation world models for generalist embodied agents.

Pietro Mazzaglia, Tim Verbelen, Bart Dhoedt, Aaron C. Courville, Sai Rajeswar

CoRR, 2024

GenRL: Multimodal-foundation world models for generalization in embodied agents.

Pietro Mazzaglia, Tim Verbelen, Bart Dhoedt, Aaron C. Courville, Sai Rajeswar Mudumba

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Information-driven Affordance Discovery for Efficient Robotic Manipulation.

Pietro Mazzaglia, Taco Cohen, Daniel Dijkman

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

2023

Learning to Navigate from Scratch using World Models and Curiosity: the Good, the Bad, and the Ugly.

Daria de Tinguy, Sven Remmery, Pietro Mazzaglia, Tim Verbelen, Bart Dhoedt

CoRR, 2023

Uncertainty-driven Affordance Discovery for Efficient Robotics Manipulation.

Pietro Mazzaglia, Taco Cohen, Daniel Dijkman

CoRR, 2023

FOCUS: Object-Centric World Models for Robotics Manipulation.

Stefano Ferraro, Pietro Mazzaglia, Tim Verbelen, Bart Dhoedt

CoRR, 2023

Mastering the Unsupervised Reinforcement Learning Benchmark from Pixels.

Sai Rajeswar, Pietro Mazzaglia, Tim Verbelen, Alexandre Piché, Bart Dhoedt, Aaron C. Courville, Alexandre Lacoste

Proceedings of the International Conference on Machine Learning, 2023

Choreographer: Learning and Adapting Skills in Imagination.

Pietro Mazzaglia, Tim Verbelen, Bart Dhoedt, Alexandre Lacoste, Sai Rajeswar

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Computational Optimization of Image-Based Reinforcement Learning for Robotics.

Stefano Ferraro, Toon Van de Maele, Pietro Mazzaglia, Tim Verbelen, Bart Dhoedt

Sensors, 2022

The Free Energy Principle for Perception and Action: A Deep Learning Perspective.

Pietro Mazzaglia, Tim Verbelen, Ozan Çatal, Bart Dhoedt

Entropy, 2022

Unsupervised Model-based Pre-training for Data-efficient Control from Pixels.

Sai Rajeswar, Pietro Mazzaglia, Tim Verbelen, Alexandre Piché, Bart Dhoedt, Aaron C. Courville, Alexandre Lacoste

CoRR, 2022

Home Run: Finding Your Way Home by Imagining Trajectories.

Daria de Tinguy, Pietro Mazzaglia, Tim Verbelen, Bart Dhoedt

Proceedings of the Active Inference - Third International Workshop, 2022

Disentangling Shape and Pose for Object-Centric Deep Active Inference Models.

Stefano Ferraro, Toon Van de Maele, Pietro Mazzaglia, Tim Verbelen, Bart Dhoedt

Proceedings of the Active Inference - Third International Workshop, 2022

Curiosity-Driven Exploration via Latent Bayesian Surprise.

Pietro Mazzaglia, Ozan Çatal, Tim Verbelen, Bart Dhoedt

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

TORCH: a TOSCA-Based Orchestrator of Multi-Cloud Containerised Applications.

Orazio Tomarchio, Domenico Calcaterra, Giuseppe Di Modica, Pietro Mazzaglia

J. Grid Comput., 2021

A learning gap between neuroscience and reinforcement learning.

Samuel T. Wauthier, Pietro Mazzaglia, Ozan Çatal, Cedric De Boom, Tim Verbelen, Bart Dhoedt

CoRR, 2021

Self-Supervised Exploration via Latent Bayesian Surprise.

Pietro Mazzaglia, Ozan Çatal, Tim Verbelen, Bart Dhoedt

CoRR, 2021

Contrastive Active Inference.

Pietro Mazzaglia, Tim Verbelen, Bart Dhoedt

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Cluster-Agnostic Orchestration of Containerised Applications.

Domenico Calcaterra, Giuseppe Di Modica, Pietro Mazzaglia, Orazio Tomarchio

Proceedings of the Cloud Computing and Services Science - 10th International Conference, 2020

Enabling Container Cluster Interoperability using a TOSCA Orchestration Framework.

Domenico Calcaterra, Giuseppe Di Modica, Pietro Mazzaglia, Orazio Tomarchio

Proceedings of the 10th International Conference on Cloud Computing and Services Science, 2020