GRPO (Group Relative Policy Optimization)

GRPO (Group Relative Policy Optimization) is a reinforcement learning technique that optimizes policies by comparing performance across groups of agents rather than individual agents. It's particularly useful for multi-agent systems and scenarios where relative performance matters more than absolute scores.

AI companies are hiring for GRPO expertise because it enables more efficient training of complex multi-agent systems like those used in robotics, autonomous vehicles, and game AI. This technique reduces training instability and improves coordination in environments where agents must work together or compete.