Author

Oleksii Kuchaiev

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#artificial intelligence Preprint Oct 2026

Double-Rollout Reinforcement Learning with Sampling-based Reward Estimation

Reinforcement learning with verifiable rewards (RLVR) implemented with Group Relative Policy Optimization (GRPO) has driven substantial progress in training reasoning language models. However, verifiable outcome rewards provide an imperfect measure of reasoning quality: a correct final answer may not be supported by th...

Hai-Feng Qian, David Mosallanezhad, Christian Munley et al. · 0 citations

#artificial intelligence Preprint Oct 2026

Before They Can Solve: Predicting Post-Training Coding-Agent Performance from Base Models

How can we predict which base checkpoint is worth an expensive round of agentic post-training? End-to-end pass@$K$ tests whether successful behavior already appears in a base model's distribution, but it is a poor fit for agentic coding: many base checkpoints cannot reliably produce the well-formed tool invocation requ...

Tan Yu, A. Bukharin, Khushi Bhardwaj et al. · 1 citation