Techniquespost-trainingagentic post-training

general family · filed under post-training

Training on verifiable problems in agentic environments

Training on agentic-environment problems with verifiable answers, including multi-step information-search tasks.

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Evidence

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We train Kimi K3 on verifiable problems in agentic environments; representative examples include multi-step complex information searching, where the model plans its research, gathers evidence from the web step by step, and produces a verifiable answer

coreunclearin Kimi K3Moonshot AI

k3 tech report·Kimi Team

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Other methods under post-training :: agentic post-training.

Agentic reinforcement learning Multi-harness training Agentic tool-use training Environment hardening Reinforcement learning on synthetic agentic data Repair-agent environment correction loop Agentic post-training Autonomous Execution Tasks (AET)Concurrent multi-environment post-training Container-level network isolation Environment preparation to prevent solution leakage Environment scaling for realistic training tasks Generate-verify-refine loop Harness-optimized training Mock applications for personal-assistant reinforcement learning Multi-agent task decomposition and coordination Multi-environment reinforcement learning Multi-environment reinforcement learning from verifiable rewards Multi-harness trajectory training with native behavior preservation Multi-turn collaboration simulator Production-harness-matched reinforcement learning Python tool use in chain-of-thought Re-post-training for agentic capabilities Reinforcement learning in an agent harness