Rollout
In reinforcement learning, generating a trajectory of model actions and outcomes used to compute training rewards.
In other contexts, Rollout also means A staged deployment of a change — firmware, driver, configuration, or a new site — gated by canaries, health checks, and a tested way to stop or roll back. (Parts 6.4, 14.8, 14.14).
Current numbers
70–80%Rollout-generation share of training time in AgentMath's conventional Qwen3-8B batch-synchronous baseline