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 modeling and reasoning,...
T. Konstantin Rusch, T. Seyde, J. Boyer et al.
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