most citedOn the Utility of Learning about Humans for Human-AI Coordination

91 citations · 109 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2020

Show or Tell? Demonstration is More Robust to Changes in Shared Perception than Explanation

Theodore R. Sumers, Mark K. Ho, Thomas L. Griffiths

Successful teaching entails a complex interaction between a teacher and a learner. The teacher must select and convey information based on what they think the learner perceives and…

cs.AI20205 cited

Resource-rational Task Decomposition to Minimize Planning Costs

Carlos G. Correa, Mark K. Ho, Fred Callaway +1

People often plan hierarchically. That is, rather than planning over a monolithic representation of a task, they decompose the task into simpler subtasks and then plan to accomplis…

cs.AI202013 cited

The Efficiency of Human Cognition Reflects Planned Information Processing

Mark K. Ho, David Abel, Jonathan D. Cohen +2

Planning is useful. It lets people take actions that have desirable long-term consequences. But, planning is hard. It requires thinking about consequences, which consumes limited c…

cs.LG201991 cited

On the Utility of Learning about Humans for Human-AI Coordination

Micah Carroll, Rohin Shah, Mark K. Ho +4

While we would like agents that can coordinate with humans, current algorithms such as self-play and population-based training create agents that can coordinate with themselves. Ag…

cs.CL2019

The Computational Structure of Unintentional Meaning

Mark K. Ho, Joanna Korman, Thomas L. Griffiths

Speech-acts can have literal meaning as well as pragmatic meaning, but these both involve consequences typically intended by a speaker. Speech-acts can also have unintentional mean…