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 (11–15
Other Supplementary Material for this manuscript includes the following:
- Movie S1 (.mp4 format). Summary.
Files in this Data Supplement: