Pietro Mazzaglia

39 papers A* 6A 1C 1Journal 28Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	LUMINA: Long-horizon Understanding for Multi-turn Interactive Agents. CoRR Amin Rakhsha, Thomas Hehn, Pietro Mazzaglia, Fabio Valerio Massoli, Arash Behboodi, Tribhuvanesh Orekondy
2025	J	`jnl`	FOCUS: object-centric world models for robotic manipulation. Frontiers Neurorobotics Stefano Ferraro, Pietro Mazzaglia, Tim Verbelen, Bart Dhoedt
2025	J	`jnl`	Focusing on What Matters: Object-Agent-centric Tokenization for Vision Language Action models. CoRR Rokas Bendikas, Daniel Dijkman, Markus Peschl, Sanjay Haresh, Pietro Mazzaglia
2025	J	`jnl`	From Code to Action: Hierarchical Learning of Diffusion-VLM Policies. CoRR Markus Peschl, Pietro Mazzaglia, Daniel Dijkman
2025	J	`jnl`	Hybrid Training for Vision-Language-Action Models. CoRR Pietro Mazzaglia, Cansu Sancaktar, Markus Peschl, Daniel Dijkman
2025	J	`jnl`	Maximum causal entropy inverse constrained reinforcement learning. Mach. Learn. Mattijs Baert, Pietro Mazzaglia, Sam Leroux, Pieter Simoens
2025	A	`conf`	Representing Positional Information in Generative World Models for Object Manipulation. ECAI Stefano Ferraro, Pietro Mazzaglia, Tim Verbelen, Bart Dhoedt, Sai Rajeswar
2024	A*	`conf`	GenRL: Multimodal-foundation world models for generalization in embodied agents. NeurIPS Pietro Mazzaglia, Tim Verbelen, Bart Dhoedt, Aaron C. Courville, Sai Rajeswar Mudumba
2024	A*	`conf`	Information-driven Affordance Discovery for Efficient Robotic Manipulation. ICRA Pietro Mazzaglia, Taco Cohen, Daniel Dijkman
2024	J	`jnl`	Information-driven Affordance Discovery for Efficient Robotic Manipulation. CoRR Pietro Mazzaglia, Taco Cohen, Daniel Dijkman
2024	J	`jnl`	Multimodal foundation world models for generalist embodied agents. CoRR Pietro Mazzaglia, Tim Verbelen, Bart Dhoedt, Aaron C. Courville, Sai Rajeswar
2024	J	`jnl`	Object-Centric Scene Representations Using Active Inference. Neural Comput. Toon Van de Maele, Tim Verbelen, Pietro Mazzaglia, Stefano Ferraro, Bart Dhoedt
2024	J	`jnl`	Redundancy-Aware Action Spaces for Robot Learning. IEEE Robotics Autom. Lett. Pietro Mazzaglia, Nicholas Backshall, Xiao Ma, Stephen James
2024	J	`jnl`	Redundancy-aware Action Spaces for Robot Learning. CoRR Pietro Mazzaglia, Nicholas Backshall, Xiao Ma, Stephen James
2024	J	`jnl`	Representing Positional Information in Generative World Models for Object Manipulation. CoRR Stefano Ferraro, Pietro Mazzaglia, Tim Verbelen, Bart Dhoedt, Sai Rajeswar
2023	A*	`conf`	Choreographer: Learning and Adapting Skills in Imagination. ICLR Pietro Mazzaglia, Tim Verbelen, Bart Dhoedt, Alexandre Lacoste, Sai Rajeswar
2023	J	`jnl`	FOCUS: Object-Centric World Models for Robotics Manipulation. CoRR Stefano Ferraro, Pietro Mazzaglia, Tim Verbelen, Bart Dhoedt
2023	J	`jnl`	Learning to Navigate from Scratch using World Models and Curiosity: the Good, the Bad, and the Ugly. CoRR Daria de Tinguy, Sven Remmery, Pietro Mazzaglia, Tim Verbelen, Bart Dhoedt
2023	A*	`conf`	Mastering the Unsupervised Reinforcement Learning Benchmark from Pixels. ICML Sai Rajeswar, Pietro Mazzaglia, Tim Verbelen, Alexandre Piché, Bart Dhoedt, Aaron C. Courville, Alexandre Lacoste
2023	J	`jnl`	Maximum Causal Entropy Inverse Constrained Reinforcement Learning. CoRR Mattijs Baert, Pietro Mazzaglia, Sam Leroux, Pieter Simoens
2023	J	`jnl`	Object-Centric Scene Representations using Active Inference. CoRR Toon Van de Maele, Tim Verbelen, Pietro Mazzaglia, Stefano Ferraro, Bart Dhoedt
2023	J	`jnl`	Uncertainty-driven Affordance Discovery for Efficient Robotics Manipulation. CoRR Pietro Mazzaglia, Taco Cohen, Daniel Dijkman
2022	J	`jnl`	Choreographer: Learning and Adapting Skills in Imagination. CoRR Pietro Mazzaglia, Tim Verbelen, Bart Dhoedt, Alexandre Lacoste, Sai Rajeswar
2022	J	`jnl`	Computational Optimization of Image-Based Reinforcement Learning for Robotics. Sensors Stefano Ferraro, Toon Van de Maele, Pietro Mazzaglia, Tim Verbelen, Bart Dhoedt
2022	A*	`conf`	Curiosity-Driven Exploration via Latent Bayesian Surprise. AAAI Pietro Mazzaglia, Ozan Çatal, Tim Verbelen, Bart Dhoedt
2022	—	`conf`	Disentangling Shape and Pose for Object-Centric Deep Active Inference Models. IWAI Stefano Ferraro, Toon Van de Maele, Pietro Mazzaglia, Tim Verbelen, Bart Dhoedt
2022	J	`jnl`	Disentangling Shape and Pose for Object-Centric Deep Active Inference Models. CoRR Stefano Ferraro, Toon Van de Maele, Pietro Mazzaglia, Tim Verbelen, Bart Dhoedt
2022	—	`conf`	Home Run: Finding Your Way Home by Imagining Trajectories. IWAI Daria de Tinguy, Pietro Mazzaglia, Tim Verbelen, Bart Dhoedt
2022	J	`jnl`	Home Run: Finding Your Way Home by Imagining Trajectories. CoRR Daria de Tinguy, Pietro Mazzaglia, Tim Verbelen, Bart Dhoedt
2022	J	`jnl`	The Free Energy Principle for Perception and Action: A Deep Learning Perspective. CoRR Pietro Mazzaglia, Tim Verbelen, Ozan Çatal, Bart Dhoedt
2022	J	`jnl`	The Free Energy Principle for Perception and Action: A Deep Learning Perspective. Entropy Pietro Mazzaglia, Tim Verbelen, Ozan Çatal, Bart Dhoedt
2022	J	`jnl`	Unsupervised Model-based Pre-training for Data-efficient Control from Pixels. CoRR Sai Rajeswar, Pietro Mazzaglia, Tim Verbelen, Alexandre Piché, Bart Dhoedt, Aaron C. Courville, Alexandre Lacoste
2021	J	`jnl`	A learning gap between neuroscience and reinforcement learning. CoRR Samuel T. Wauthier, Pietro Mazzaglia, Ozan Çatal, Cedric De Boom, Tim Verbelen, Bart Dhoedt
2021	A*	`conf`	Contrastive Active Inference. NeurIPS Pietro Mazzaglia, Tim Verbelen, Bart Dhoedt
2021	J	`jnl`	Contrastive Active Inference. CoRR Pietro Mazzaglia, Tim Verbelen, Bart Dhoedt
2021	J	`jnl`	Self-Supervised Exploration via Latent Bayesian Surprise. CoRR Pietro Mazzaglia, Ozan Çatal, Tim Verbelen, Bart Dhoedt
2021	J	`jnl`	TORCH: a TOSCA-Based Orchestrator of Multi-Cloud Containerised Applications. J. Grid Comput. Orazio Tomarchio, Domenico Calcaterra, Giuseppe Di Modica, Pietro Mazzaglia
2020	—	`conf`	Cluster-Agnostic Orchestration of Containerised Applications. CLOSER (Selected Papers) Domenico Calcaterra, Giuseppe Di Modica, Pietro Mazzaglia, Orazio Tomarchio
2020	C	`conf`	Enabling Container Cluster Interoperability using a TOSCA Orchestration Framework. CLOSER Domenico Calcaterra, Giuseppe Di Modica, Pietro Mazzaglia, Orazio Tomarchio