Mazzaglia, Pietro

15 publications

CoRL 2025 Focusing on What Matters: Object-Agent-Centric Tokenization for Vision Language Action Models Rokas Bendikas, Daniel Dijkman, Markus Peschl, Sanjay Haresh, Pietro Mazzaglia

MLJ 2025 Maximum Causal Entropy Inverse Constrained Reinforcement Learning Mattijs Baert, Pietro Mazzaglia, Sam Leroux, Pieter Simoens

NeurIPS 2024 GenRL: Multimodal-Foundation World Models for Generalization in Embodied Agents Pietro Mazzaglia, Tim Verbelen, Bart Dhoedt, Aaron Courville, Sai Rajeswar

ICMLW 2024 Multimodal Foundation World Models for Generalist Embodied Agents Pietro Mazzaglia, Tim Verbelen, Bart Dhoedt, Aaron Courville, Sai Rajeswar

NeurIPSW 2024 Representing Positional Information in Generative World Models for Object Manipulation Stefano Ferraro, Pietro Mazzaglia, Tim Verbelen, Bart Dhoedt, Sai Rajeswar

NeurIPSW 2024 Representing Positional Information in Generative World Models for Object Manipulation Stefano Ferraro, Pietro Mazzaglia, Tim Verbelen, Bart Dhoedt, Sai Rajeswar

ICLR 2023 Choreographer: Learning and Adapting Skills in Imagination Pietro Mazzaglia, Tim Verbelen, Bart Dhoedt, Alexandre Lacoste, Sai Rajeswar

NeurIPSW 2023 FOCUS: Object-Centric World Models for Robotic Manipulation Stefano Ferraro, Pietro Mazzaglia, Tim Verbelen, Bart Dhoedt

ICML 2023 Mastering the Unsupervised Reinforcement Learning Benchmark from Pixels Sai Rajeswar, Pietro Mazzaglia, Tim Verbelen, Alexandre Piché, Bart Dhoedt, Aaron Courville, Alexandre Lacoste

NeurIPSW 2022 Choreographer: Learning and Adapting Skills in Imagination Pietro Mazzaglia, Tim Verbelen, Bart Dhoedt, Alexandre Lacoste, Sai Rajeswar

NeurIPSW 2022 Choreographer: Learning and Adapting Skills in Imagination Pietro Mazzaglia, Tim Verbelen, Bart Dhoedt, Alexandre Lacoste, Sai Rajeswar

NeurIPSW 2022 Chunking Space and Time with Information Geometry Tim Verbelen, Daria de Tinguy, Pietro Mazzaglia, Ozan Catal, Adam Safron

AAAI 2022 Curiosity-Driven Exploration via Latent Bayesian Surprise Pietro Mazzaglia, Ozan Çatal, Tim Verbelen, Bart Dhoedt

ICMLW 2022 Unsupervised Model-Based Pre-Training for Data-Efficient Reinforcement Learning from Pixels Sai Rajeswar, Pietro Mazzaglia, Tim Verbelen, Alexandre Piché, Bart Dhoedt, Aaron Courville, Alexandre Lacoste

NeurIPS 2021 Contrastive Active Inference Pietro Mazzaglia, Tim Verbelen, Bart Dhoedt