Research Explorer

Your browser does not support JavaScript or JavaScript is not enabled. Without JavaScript some functions of this webapplication may be disabled or cause error messages. To enable JavaScript, please consult the manual of your browser or contact your system administrator.

Project

Deep Temporal Models for Perception and Control

Outputs and Outcomes

Publications

Gen{RL}: Multimodal-foundation world models for generalization in embodied agents

Pietro MazzagliaTim VerbelenBart DhoedtA. CourvilleS. Rajeswar

Redundancy-aware action spaces for robot learning

Pietro MazzagliaNicholas BackshallXiao MaStephen James

A1 Journal Article in IEEE ROBOTICS AND AUTOMATION LETTERS

Multimodal foundation world models for generalist embodied agents

Pietro MazzagliaTim VerbelenBart DhoedtA. CourvilleS. Rajeswar

Information-driven affordance discovery for efficient robotic manipulation

Pietro MazzagliaT. CohenD. Dijkman

Learning to navigate from scratch using world models and curiosity : the good, the bad, and the ugly

Daria de TinguySven RemmeryPietro MazzagliaTim VerbelenBart Dhoedt

FOCUS : object-centric world models for robotics manipulation

Stefano FerraroPietro MazzagliaTim VerbelenBart Dhoedt

Mastering the unsupervised reinforcement learning benchmark from Pixels

S. RajeswarPietro MazzagliaTim VerbelenA. PicheBart DhoedtA. CourvilleA. Lacoste

Uncertainty-driven affordance discovery for efficient robotics manipulation

Pietro MazzagliaT. CohenD. Dijkman

Choreographer : learning and adapting skills in imagination

Pietro MazzagliaTim VerbelenBart DhoedtLacoste A.Rajeswar S.