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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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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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10/29/2020
Emergence of Spatial Coordinates via Exploration
Spatial knowledge is a fundamental building block for the development of...
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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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06/04/2019
Unsupervised Emergence of Egocentric Spatial Structure from Sensorimotor Prediction
Despite its omnipresence in robotics application, the nature of spatial ...
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06/03/2019
Self-supervised Body Image Acquisition Using a Deep Neural Network for Sensorimotor Prediction
This work investigates how a naive agent can acquire its own body image ...
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10/11/2018
Identification of Invariant Sensorimotor Structures as a Prerequisite for the Discovery of Objects
Perceiving the surrounding environment in terms of objects is useful for...
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10/03/2018
Learning agent's spatial configuration from sensorimotor invariants
The design of robotic systems is largely dictated by our purely human in...
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10/03/2018
Grounding the Experience of a Visual Field through Sensorimotor Contingencies
Artificial perception is traditionally handled by hand-designing task sp...
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10/03/2018
Grounding Perception: A Developmental Approach to Sensorimotor Contingencies
Sensorimotor contingency theory offers a promising account of the nature...
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10/03/2018
A Non-linear Approach to Space Dimension Perception by a Naive Agent
Developmental Robotics offers a new approach to numerous AI features tha...
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10/03/2018
Learning an internal representation of the end-effector configuration space
Current machine learning techniques proposed to automatically discover a...
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10/02/2018
Unsupervised Emergence of Spatial Structure from Sensorimotor Prediction
Despite its omnipresence in robotics application, the nature of spatial ...
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05/16/2018
Learning Representations of Spatial Displacement through Sensorimotor Prediction
Robots act in their environment through sequences of continuous motor co...
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05/11/2018
A Sensorimotor Perspective on Grounding the Semantic of Simple Visual Features
In Machine Learning and Robotics, the semantic content of visual feature...
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08/03/2016
