CARLA / representation transferDemonstrations become control features.↖ Supervised imitation → representation reuse → actor–critic
01 / Observe
RGB + additional channels02 / Imitate
visual features → control heads03 / Reuse
checkpoint feature extractor04 / Improve
visual features + vehicle stateDemonstration to interaction.
Visual autonomous driving
- Built expert-data collection, visual imitation learning and continuous-control training paths.
- Reused imitation-checkpoint features, fused with vehicle state, inside an actor–critic pipeline.
- Implemented simulator environments, checkpoint recovery, monitoring and multi-environment training utilities.
Representation transfer / Imitation learningInside the system