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06/19/2023
Practical Equivariances via Relational Conditional Neural Processes
Conditional Neural Processes (CNPs) are a class of metalearning models p...
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05/23/2023
Conditional Mutual Information for Disentangled Representations in Reinforcement Learning
Reinforcement Learning (RL) environments can produce training data with ...
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09/02/2022
Co-Imitation: Learning Design and Behaviour by Imitation
The co-adaptation of robots has been a long-standing research endeavour ...
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11/03/2021
What Robot do I Need? Fast Co-Adaptation of Morphology and Control using Graph Neural Networks
The co-adaptation of robot morphology and behaviour becomes increasingly...
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08/18/2020
Residual Learning from Demonstration
Contacts and friction are inherent to nearly all robotic manipulation ta...
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11/15/2019
Improved Exploration through Latent Trajectory Optimization in Deep Deterministic Policy Gradient
Model-free reinforcement learning algorithms such as Deep Deterministic ...
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11/15/2019
