Multi-agent capability: Opponent-learning awareness in training and inference

AI Impact Summary

This capability introduces training and inference that model opponent-learning dynamics, allowing agents to anticipate opponents that adapt over time. In competitive or strategic environments, policies can remain effective as other agents learn, reducing brittleness from nonstationary behavior. Implementing this will require simulating adaptive opponents during training, expanding evaluation to include adaptive scenarios, and updating data pipelines to capture opponent behavior signals.