Lightweight Adaptation of Pretrained Robot Manipulation Systems: Two Approaches
Two systematic attempts to improve large pretrained models with minimal or zero modification to their weights via reinforcement learning on a frozen OpenVLA-7B using binary task-success rewards on LIBERO-Goal reveal a common ceiling.
Adam Lalani, Chen Sun, Hui Wang
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