Ya Zhang

Robots can now plan complex, long-horizon tasks in novel environments by predicting sparse visual sub-goals, achieving 70% success in zero-shot real-world experiments.

Modular TTT reveals that the right combination of learning rate and weight decay can significantly boost performance, while deeper architectures may actually degrade results.