DSpace@MIT

The success of modern data science is largely driven by access to large-scale, high dimensional data. Much of classical machine learning has been developed under the assumption that this data is generated independently ...

Imitation learning has driven the development of generalist policies capable of autonomously solving multiple tasks. However, when a pretrained policy makes errors during deployment, there are limited mechanisms for users ...