EpochLex entry

Group Relative Policy Optimization

groop REL-uh-tiv POL-uh-see op-tuh-muh-ZAY-shun

A reinforcement-learning post-training method in which a model generates groups of candidate completions, receives rewards for them, and updates its policy using advantages computed relative to other completions in the group.