specific method · filed under post-training
Unified white-box reinforcement-learning environment
A configurable, composable environment that represents an agent harness through modules such as tools, prompts, context management, skills, memories, and subagents.
Also called unified white-box RL environment.
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Evidence
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To address this, we develop a unified white-box RL environment that represents an agent harness as a collection of configurable, composable modules, including tool interfaces, system prompts, context management strategies, skills, memories, subagents, and other components.
usedunclearin Kimi K3Moonshot AI
Filed alongside
Other methods under post-training :: agentic post-training.
Agentic reinforcement learningMulti-harness trainingAgentic tool-use trainingEnvironment hardeningReinforcement learning on synthetic agentic dataRepair-agent environment correction loopAgentic post-trainingAutonomous Execution Tasks (AET)Concurrent multi-environment post-trainingContainer-level network isolationEnvironment preparation to prevent solution leakageEnvironment scaling for realistic training tasksGenerate-verify-refine loopHarness-optimized trainingMock applications for personal-assistant reinforcement learningMulti-agent task decomposition and coordinationMulti-environment reinforcement learningMulti-environment reinforcement learning from verifiable rewardsMulti-harness trajectory training with native behavior preservationMulti-turn collaboration simulatorProduction-harness-matched reinforcement learningPython tool use in chain-of-thoughtRe-post-training for agentic capabilitiesReinforcement learning in an agent harness