Search papers, labs, and topics across Lattice.
Affiliation:
4
0
5
Kuafu's ability to synthesize robust policies from language and task semantics achieves over 82% success in complex manipulation tasks, revolutionizing how we approach control-to-learning paradigms.
MRieHy achieves significant performance improvements in MI-BCI decoding by effectively leveraging Riemannian geometry for cross-day transferability.
Cloning synthetic demonstrations alone caps performance, but combining it with reinforcement learning unlocks superior real-world manipulation capabilities.
Achieving a Relational Delivery Score of 66.6% reveals that even advanced models struggle with the complexities of merging interacting pull requests safely.
