Michael Amir

Robots can learn to sacrifice immediate gains for superior team coordination, outperforming centralized and reactive planners even with over a thousand agents.

Physical robot kinematics can double as an out-of-band data link, letting agents transmit arbitrary bitstreams purely through camera-observable action noise without degrading policy performance or touching an RF transceiver.

Principle reconstruction in language models is fraught with ambiguity, revealing only 73% agreement between different executors on decision-making.