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RetailBench: Evaluating Long-Horizon Autonomous Decision-Making and Strategy Stability of LLM Agents in Realistic Retail Environments

Researchers have introduced RetailBench, a simulation benchmark designed to evaluate the long-horizon decision-making and strategic stability of language model agents in a virtual retail environment.

Impact
44/100
Current rank score
21.68
Source tier
Tier 1
Category
Research
Read the full story at arxiv.org

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