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REA is a unified runtime that coordinates a deliberative foundation-model brain with fast reactive VLA and whole-body policies under a 'no running policy waits on the brain' rule, achieving 95.9% success on 60 LIBERO-Pro tasks with 25% fewer control steps, plus strong results on RoboTwin 2.0, BEHAVIOR-1K, and a real Unitree G1 humanoid.
AstraFlow is a dataflow-oriented RL system that enables efficient multi-policy collaborative training and elastic scaling for agentic LLMs, achieving a 2.7x training speedup over existing systems.