Artificial Intelligence Research Center

HAQ-Agent-Lite

Hardware-aware quantization frameworks such as HAQ use reinforcement learning (RL)to search per-layer bit-width policies, but this search itself requires hundreds to thousands ofpolicy evaluations with an accelerator (and, in HAQ’s case, per-episode fine-tuning) in theloop — a re...

From Instruction to Inheritance: Scaling Robot Learning Through Knowledge Circulation

Robot learning, particularly through vision–language–action (VLA) models, has rapidly improved the ability of robots to execute instructed tasks. However, the current mainstream paradigm of robot learning largely depends on one‐way instruction from humans to robots, lacking a cyc...