Artificial Intelligence #training#evaluation
New Study Challenges Prior Claims on Scaling Context Length in Imitation Learning
Researchers evaluated diffusion policies for robotic imitation learning across varying context lengths, challenging prior claims that long-context scaling is fragile. They propose a training algorithm that jointly trains policies at multiple context lengths, reducing sample complexity.
Jun 17, 2026 1 source