implementation detail · filed under post-training
Scaffold-agnostic rollout control layer
Orchestrates rollouts across scaffolds, normalizes interactions into a common trajectory schema, and communicates with the trainer.
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the worker provides a scaffold-agnostic control layer that orchestrates the rollout, normalizes heterogeneous interactions into a common trajectory schema, and communicates with the trainer
usedsoftware implementationin DeepSeek Elastic Compute (DSec)DeepSeek
Filed alongside
Other methods under post-training :: rollout & RL infrastructure.
Asynchronous reinforcement learningPartial rolloutAsynchronous RL frameworks for large-scale agent scaffolds and environment orchestrationToken-in-token-out (TITO)Asynchronous reinforcement learning infrastructureCo-located RL trainingData SchedulerDecoupled control plane and data planeDecoupling agent rollout into sandbox and worker containerDeficit-corrected schedulingLarge-scale asynchronous RL in synthesized tasksOne-step off-policy asynchronous reinforcement learningPredictive Rollout DispatchSample-grained garbage collectionSeamless Rollout EngineSLIMEToken-granularity persistence of rollout statesToken-level interruptionTool ManagerToolboxAdaptive Rollout ConcurrencyAdaptive Rollout SchedulingAgent LoopAgent-centric rollout execution