Large language models (LLMs) have demonstrated exciting progress in acqu...
Animals have evolved various agile locomotion strategies, such as sprint...
The progress of autonomous web navigation has been hindered by the depen...
We describe a system for deep reinforcement learning of robotic manipula...
For robots to follow instructions from people, they must be able to conn...
By transferring knowledge from large, diverse, task-agnostic datasets, m...
The predictive information, the mutual information between the past and
...
Evolution Strategy (ES) algorithms have shown promising results in train...
Intelligent agents need to select long sequences of actions to solve com...
A longstanding goal of the field of AI is a strategy for compiling diver...
Imitation learning often needs a large demonstration set in order to han...
Large language models can encode a wealth of semantic knowledge about th...
Learning effective visual representations that generalize well without h...
The Predictive Information is the mutual information between the past an...
Grounding language to visual relations is critical to various
language-a...
In this paper, we study the problem of image-text matching. Inferring th...
In this paper, we study the problem of learning image classification mod...