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Harnessed agentic RL can boost agent performance significantly, as shown by a 14.6-point improvement in coding tasks with minimal training data.
LLM agents can explore more effectively by retrieving and reasoning over off-policy step-level traces, leading to significant performance gains and faster training.
Finally, VR agents can maintain natural gaze and respond to user movement in real-time, thanks to a novel architecture that achieves state-of-the-art motion quality at over 300 FPS.
