GRPO (Gradient-Based Reinforcement Learning for Agent Optimization)

GRPO (Gradient-Based Reinforcement Learning for Policy Optimization) is an algorithm that optimizes agent decision-making by adjusting reward functions and policy gradients. It reduces token consumption and improves task success rates.