In this work, we present a scalable reinforcement learning method for
tr...
We study how vision-language models trained on Internet-scale data can b...
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...
We propose Token Turing Machines (TTM), a sequential, autoregressive
Tra...
Large language models can encode a wealth of semantic knowledge about th...