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05/06/2022
Geodesics, Non-linearities and the Archive of Novelty Search
The Novelty Search (NS) algorithm was proposed more than a decade ago. H...
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11/02/2021
Discovering and Exploiting Sparse Rewards in a Learned Behavior Space
Learning optimal policies in sparse rewards settings is difficult as the...
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09/28/2021
Exploratory State Representation Learning
Not having access to compact and meaningful representations is known to ...
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09/14/2021
Few-shot Quality-Diversity Optimisation
In the past few years, a considerable amount of research has been dedica...
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04/08/2021
BR-NS: an Archive-less Approach to Novelty Search
As open-ended learning based on divergent search algorithms such as Nove...
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02/05/2021
Sparse Reward Exploration via Novelty Search and Emitters
Reward-based optimization algorithms require both exploration, to find r...
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05/13/2020
Novelty Search makes Evolvability Inevitable
Evolvability is an important feature that impacts the ability of evoluti...
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05/13/2020
DREAM Architecture: a Developmental Approach to Open-Ended Learning in Robotics
Robots are still limited to controlled conditions, that the robot design...
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09/15/2019
State Representation Learning from Demonstration
In a context where several policies can be observed as black boxes on di...
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03/11/2019
Building an Affordances Map with Interactive Perception
Robots need to understand their environment to perform their task. If it...
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01/30/2019
Bootstrapping Robotic Ecological Perception from a Limited Set of Hypotheses Through Interactive Perception
To solve its task, a robot needs to have the ability to interpret its pe...
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01/03/2019
From exploration to control: learning object manipulation skills through novelty search and local adaptation
Programming a robot to deal with open-ended tasks remains a challenge, i...
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09/14/2016