ReSyn: Autonomously Scaling Synthetic Environments for Reasoning Models

Andre He, Nathaniel Weir, Kaj Bostrom +4

Reinforcement learning with verifiable rewards (RLVR) has emerged as a promising approach for training reasoning language models (RLMs) by leveraging supervision from verifiers. Al…