GAC: Stabilizing Asynchronous RL Training for LLMs via Gradient Alignment Control
GAC: Stabilizing Asynchronous RL Training for LLMs via Gradient Alignment Control explores Develop a stabilization method for asynchronous RL training in large language models to recover stable training dynamics and match synchronized baselines.. Commercial viability score: 5/10 in Reinforcement Learning.
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