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Looped Actor: Depth-Recurrent Reasoning Models for Reinforcement Learning
Looped reasoning models repeatedly apply a shared set of parameters, enabling more computation without increasing the model size. These models also support input-dependent computation by dynamically deciding when to stop looping. Motivated by the recent success of looped transformers in language mod
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