Pietro Mazzaglia

According to our database, Pietro Mazzaglia authored at least 19 papers between 2020 and 2023.

Collaborative distances:

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

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

Maximum Causal Entropy Inverse Constrained Reinforcement Learning.

Mattijs Baert, Pietro Mazzaglia, Sam Leroux, Pieter Simoens

CoRR, 2023

Object-Centric Scene Representations using Active Inference.

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