We show how to derive state-of-the-art unsupervised neural machine
trans...
Optoelectronic tweezer-driven microrobots (OETdMs) are a versatile
micro...
We introduce an exploration bonus for deep reinforcement learning method...
The field of few-shot learning has recently seen substantial advancement...
We explore methods for option discovery based on variational inference a...
Modeling agent behavior is central to understanding the emergence of com...
Effective training of neural networks requires much data. In the low-dat...
An efficient learner is one who reuses what they already know to tackle ...
In practice, there are often explicit constraints on what representation...