SarahRajtmajer/AFOSR

AFOSR

This repository contains Penn State research supported by the Air Force Office of Scientific Research.

Papers

• Construal Level Theory as a Means for Anticipating Human-Robot Interactions, accepted at ICRA 2022 workshop
• Construal Level Theory for Agent-based Planning, accepted at AAAI 2022 Fall Symposium
• Active Class Selection for Few-Shot Class-Incremental Learning, submitted for review

Code

• Construal Level Theory for Agent-based Planning
• Active Class Selection for Few-Shot Class-Incremental Learning

If you consider citing us

  @inproceedings{wagnerconstrual,
    author    = {Wagner, Alan R and Rajtmajer, Sarah and McClurg, Christopher},
    title     = {{Construal Level Theory as a Means for Anticipating Human-Robot Interactions}},
    year      = {2022},
    maintitle = {International Conference on Robotics and Automation},
    booktitle = {Workshop on Prediction and Anticipation Reasoning in Human-Robot Interaction},
  }

  @inproceedings{mcclurg2022,
    author    = {McClurg, Christopher and Wagner, Alan R. and Rajtmajer, Sarah},
    title     = {{Construal Level Theory for Agent-based Planning}},
    year      = {2022},
    maintitle = {AAAI Conference on Artificial Intelligence},
    booktitle = {{Workshop on Thinking Fast and Slow and Other Cognitive Theories in AI}},
  }