AIBullisharXiv – CS AI · Apr 147/10
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Instructing LLMs to Negotiate using Reinforcement Learning with Verifiable Rewards
Researchers demonstrate that Reinforcement Learning from Verifiable Rewards (RLVR) can train Large Language Models to negotiate effectively in incomplete-information games like price bargaining. A 30B parameter model trained with this method outperforms frontier models 10x its size and develops sophisticated persuasive strategies while generalizing to unseen negotiation scenarios.