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Исследования2026年10月9日

StoreBench: A Live-Commerce Environment for Evaluating and Training Autonomous Operator Agents

Reinforcement learning environments are now a primary lever for improving large language model (LLM) capabilities in post-training, yet most agentic benchmarks remain static: the world moves only when the agent acts, the reward is a terminal verdict, and the pass bar is set…

Daksh Raghuvanshi, Ved Vedere, Yifan Wang·arXiv — cs.AI
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Key Takeaways
  • 01.Reinforcement learning environments are now a primary lever for improving large language model (LLM) capabilities in post-training, yet most agentic benchmarks remain static: the world moves only when the agent acts, the reward is a terminal verdict, and the pass bar is set…

This material is provided as an extended analytical summary.

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