Chelsea Finn: End-to-End Policies Can Handle Long-Horizon Tasks Without Explicit World Models
At the CoRL 2026 workshop 'Do Robots Need World Models?' in Austin on November 12, Chelsea Finn presented research showing that end-to-end policies equipped with implicit supervision, multi-scale memory, and detailed multimodal prompting can manage long-horizon tasks without building explicit world models.
