With the ever-increasing number of pretrained models, machine learning
p...
Self-Supervised Learning (SSL) has become a very active area of Deep Lea...
Given a new dataset D and a low compute budget, how should we choose a
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Although deep neural networks are capable of achieving performance super...
We introduce Synthetic Environments (SEs) and Reward Networks (RNs),
rep...
This work explores learning agent-agnostic synthetic environments (SEs) ...
Self-admitted technical debt (SATD) is a particular case of Technical De...
To achieve a successful grasp, gripper attributes including geometry and...
Deep learning (DL) is being used nowadays in many traditional software
e...
Endowing robots with human-like physical reasoning abilities remains
cha...
Modelling statistical relationships beyond the conditional mean is cruci...
Given a set of empirical observations, conditional density estimation ai...
We release two artificial datasets, Simulated Flying Shapes and Simulate...
We present a novel deep neural network architecture for representing rob...