Kevin Sebastian Luck | DeepAI

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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...

0 Daolang Huang, et al. ∙

∙ 05/23/2023

Conditional Mutual Information for Disentangled Representations in Reinforcement Learning

Reinforcement Learning (RL) environments can produce training data with ...

0 Mhairi Dunion, et al. ∙

∙ 09/02/2022

Co-Imitation: Learning Design and Behaviour by Imitation

The co-adaptation of robots has been a long-standing research endeavour ...

8 Chang Rajani, et al. ∙

∙ 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...

16 Kevin Sebastian Luck, et al. ∙

∙ 08/18/2020

Residual Learning from Demonstration

Contacts and friction are inherent to nearly all robotic manipulation ta...

2 Todor Davchev, et al. ∙

∙ 11/15/2019

Improved Exploration through Latent Trajectory Optimization in Deep Deterministic Policy Gradient

Model-free reinforcement learning algorithms such as Deep Deterministic ...

0 Kevin Sebastian Luck, et al. ∙

∙ 11/15/2019

Data-efficient Co-Adaptation of Morphology and Behaviour with Deep Reinforcement Learning

Humans and animals are capable of quickly learning new behaviours to sol...

14 Kevin Sebastian Luck, et al. ∙

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