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08/30/2023
Learning to Navigate from Scratch using World Models and Curiosity: the Good, the Bad, and the Ugly
Learning to navigate unknown environments from scratch is a challenging ...
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08/28/2023
Uncertainty-driven Affordance Discovery for Efficient Robotics Manipulation
Robotics affordances, providing information about what actions can be ta...
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07/05/2023
FOCUS: Object-Centric World Models for Robotics Manipulation
Understanding the world in terms of objects and the possible interplays ...
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05/04/2023
Maximum Causal Entropy Inverse Constrained Reinforcement Learning
When deploying artificial agents in real-world environments where they i...
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02/07/2023
Object-Centric Scene Representations using Active Inference
Representing a scene and its constituent objects from raw sensory data i...
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11/23/2022
Choreographer: Learning and Adapting Skills in Imagination
Unsupervised skill learning aims to learn a rich repertoire of behaviors...
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09/24/2022
Unsupervised Model-based Pre-training for Data-efficient Control from Pixels
Controlling artificial agents from visual sensory data is an arduous tas...
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09/16/2022
Disentangling Shape and Pose for Object-Centric Deep Active Inference Models
Active inference is a first principles approach for understanding the br...
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08/19/2022
Home Run: Finding Your Way Home by Imagining Trajectories
When studying unconstrained behaviour and allowing mice to leave their c...
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07/13/2022
The Free Energy Principle for Perception and Action: A Deep Learning Perspective
The free energy principle, and its corollary active inference, constitut...
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10/19/2021
Contrastive Active Inference
Active inference is a unifying theory for perception and action resting ...
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04/22/2021
A learning gap between neuroscience and reinforcement learning
Historically, artificial intelligence has drawn much inspiration from ne...
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04/15/2021