ScaleRLT: Exact Log-Probabilities and Fast Deferred Rollouts for Reinforcement Learning on Looped Transformers
Batches later transformer loops across generated positions to accelerate reinforcement-learning rollouts. Replays the rollout schedule to recover its exact token log probabilities while using a dense pass for gradients, and evaluates the resulting training system on math problems.
First public: · Added to this list: November 2, 2026
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Recurrent reasoning — Repeat parts of the model or keep intermediate information in memory while working through a problem. Some methods also learn how many passes to run.