Problems pertaining to navigation, either traveling from A to B or towards a semantic goal.

  • Data-Efficient Policy Selection for Navigation in Partial Maps
    [Research] We present a fast and reliable policy selection approach for navigation in partial maps that leverages information collected during deployment to introspect the behavior of alternative policies without deployment.
  • Generating high-quality explanations for navigation in partially-revealed environments
    [Research] We generate explanations of a robot agent’s behavior as it navigates through a partially-revealed environment, expressed in terms of changes to its predictions about what lies in unseen space. Blog post accompanying our NeurIPS 2021 paper.
  • DeepMind's AlphaZero and The Real World
    [Research] Using DeepMind’s AlphaZero AI to solve real problems will require a change in the way computers represent and think about the world. In this post, we discuss how abstract models of the world can be used for better AI decision making and discuss recent work of ours that proposes such a model for the task of navigation.