Science Robotics

Supplementary Materials

The PDF file includes:

  • Supplement S1. Synopsis of findings.
  • Supplement S2. Materials and methods.
  • Supplement S3. Experiments and analysis.
  • Fig. S1. Three sensorimotor tasks used in our experiments.
  • Fig. S2. Different computer vision modalities used in our experiments, illustrated on the urban driving task.
  • Fig. S3. Performance of agents equipped with different input representations.
  • Fig. S4. Performance of agents equipped with different predicted input representations.
  • Fig. S5. Performance of unsupervised, predicted, and ground-truth vision agents as a function of training set size.
  • Fig. S6. Performance of image-only and vision-equipped agents as a function of training set size on battle.
  • Fig. S7. Imitation learning agent architecture.
  • Fig. S8. Network architecture used to infer the vision modalities.
  • Table S1. Performance of image-only and vision-equipped agents on training tracks.
  • References (1115
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