The Wise Negotiator
OpenEnv Hackathon SFThe Wise Negotiator is a universal negotiation environment where an LLM agent learns WHO it’s talking to using Bayesian belief updates — and shifts strategy accordingly. Built on OpenEnv, it supports multiple domains: guitar sales, car sales, property, and an HR hiring mode where the LLM plays recruiter against three candidate personalities (GrowthSeeker, StabilitySeeker, MarketExplorer). Every round, a belief tracker updates probabilities based on price movement and language signals, injecting a strategy hint directly into the observation. The agent is trained with GRPO using Qwen2.5-1.5B-Instruct, LoRA r=16, num_generations=2 (2-GRPO), and beta=0.0 (DAPO). Reward is composite: 70% price outcome + 20% empathy + 10% efficiency.
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