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AC2 proposes partial rollouts to speed up language-model reinforcement learning
AC2’s proponents say a learned critic scores token chunks, allowing training without finishing every rollout.
TLDR
The proponents of Actor-Critic with Action Chunking (AC2) say a learned critic scores chunks of tokens, allowing reinforcement learning for large language models to use partial rollouts rather than finish every rollout. They claim AC2 trains faster than GRPO.
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