Limited generator access in autoregressive post-training confines learners to root-start rollouts whose value is bounded by on-policy prefix probabilities, while weak prefix control unlocks richer observations and produces an exponential gap in KL-regularized outcome-reward training.
Foster, and Alexander Rakhlin
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The Role of Generator Access in Autoregressive Post-Training
Limited generator access in autoregressive post-training confines learners to root-start rollouts whose value is bounded by on-policy prefix probabilities, while weak prefix control unlocks richer observations and produces an exponential gap in KL-regularized outcome-reward training.