4 papers
Should I State or Should I Show? Aligning AI with Human Preferences
Keaton Ellis, Wanying Huang
As AI agents become more autonomous, properly aligning their objectives with human preferences becomes increasingly important. We study how effectively an AI agent learns a human p…
On the Inefficiency of Social Learning
Florian Brandl, Wanying Huang, Atulya Jain
We study whether a social planner can improve the efficiency of learning, measured by the expected total welfare loss, in a sequential decision-making environment. Agents arrive in…
Learning about informativeness
Wanying Huang
We study a sequential social learning model in which there is uncertainty about the informativeness of a common signal-generating process. Rational agents arrive in order and make…
The Emergence of Fads in a Changing World
Wanying Huang
We study how fads emerge under social learning in a changing environment. We consider a simple sequential social learning model where rational agents arrive in order, each acting o…