Search papers, labs, and topics across Lattice.
Affiliation:
2
0
2
A single quadrupedal locomotion policy can dynamically adapt its gait and performance across stability, energy, and tracking objectives solely through runtime preference inputs, achieving up to 59% reduction in peak attitude deviation.
Humans make better decisions when AI selectively reveals information, but only if the AI learns *when* to reveal it, outperforming both full disclosure and no disclosure.
