TL;DR of the paper, generated automatically.

Keeping robot policies from forgetting old tasks, without replaying old data.

• Method: DRAP lowers learning rates on parts that mattered for past tasks.
• Test: OpenVLA subnetwork on LIBERO Spatial, Object, and Goal suites.
• Result: substantially better retention than AdamW fine-tuning and EWC, per the paper.