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Engineering Colloquium Fall 2022 Presents: “Learning Preferences for Interactive Autonomy''

  • Zoom 1801 E Cotati Ave Rohnert Park, CA, 94928 United States (map)

In human-robot interaction or more generally multi-agent systems, we often have decentralized agents that need to perform a task together. In such settings, it is crucial to have the ability to anticipate the actions of other agents. Without this ability, the agents are often doomed to perform very poorly. Humans are usually good at this, and it is mostly because we can have good estimates of what other agents are trying to do. We want to give such an ability to robots through reward learning and partner modeling. In this talk, I am going to talk about active learning approaches to this problem and how we can leverage preference data to learn objectives. I am going to show how preferences can help reward learning in the settings where demonstration data may fail, and how partner-modeling enables decentralized agents to cooperate efficiently. For more information, please contact the ES Department at (707) 664-2030 or engineering@sonoma.edu

Zoom Link: https://SonomaState.zoom.us/j/4739559175

Earlier Event: November 3
Intro to Movement Clinic
Later Event: November 3
Social Justice Listening Circle