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Shangding Gu
Researcher

Shangding Gu

Postdoctoral Researcher at SafeRL-Lab (UC Berkeley)

LinkedIn@ShangdingG95714Website

A postdoctoral researcher focused on safe robot learning and reinforcement learning.

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AgenticPay: A Multi-Agent LLM Negotiation System for Buyer-Seller Transactions
SafeRL-Lab (UC Berkeley)researchneutralFeb 15, 2026

AgenticPay introduces a benchmark and simulation framework for evaluating multi-agent LLM-based negotiation systems in buyer-seller transactions, revealing substantial performance gaps in current LLMs for long-horizon strategic reasoning and language-mediated economic interaction.

“Co-authored AgenticPay benchmark for evaluating multi-agent LLM negotiation systems.”

AI AgentsLLMsAI ResearchReinforcement Learning