specific method · filed under post-training
Co-located long-context agentic RL system
Combines partial rollouts, external KV-cache retention, adaptive throttling, and resumable microVM sandboxes to preserve long-lived state.
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our co-located system combines partial rollouts, external KV-cache retention, adaptive throttling and resumable microVM sandboxes to preserve long-lived model and environment state.
usedsoftware implementationin Kimi K3Moonshot AI
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