Hierarchical Compositionality for An Assistive AI Agent
AI agents are increasingly being developed to assist humans in various applications, and Large Language Models and other deep network architectures are considered to be state of the art for such agents. These methods are impressive stochastic predictors, but they are resource-hungry, opaque, and known to make arbitrary...
Tianyi Fu, Mohan Sridharan
· 0 citations