Agents that Learn from Human Teachers
I’m running one of the AAAI Spring Symposia this year, Agents that Learn from Human Teachers, along with Cynthia Breazeal, Sonia Chernova, Dan Grollman, Charles Isbell, Fisayo Omojokun, and Satinder Singh.
Submissions are due by Oct. 3.
The symposium aims to bring together a multi-disciplinary group of researchers to discuss how we can enable agents to learn from real-time interaction with an everyday human partner, exploring the
ways in which machine learning can take advantage of elements of human-like social learning.
Topics of interest include, but are not limited to:
–ML for interactive, real-time learning
–supervised and semi-supervised learning approaches
–active learning approaches
–feature selection techniques
–methods for improving beyond the observed performance of the teacher based on the agent’s own successes and failures
It is geared toward people thinking about robots and software agents that learn with human input. And in addition to the AI and Machine Learning crowd, the organizing committee and I are looking to have a good representation of folks from developmental psych and social psych, to really address the human-side of the teaching-learning equation.
We welcome your submissions…
