PersuasionRL
OpenEnv Hackathon SFMy project is about Adaptive Multi-Agent Deception: Can AI Learn to Sell to Adversarial Personalities? The Challenge: The prospect is adversarial. it has hidden traits (price_sensitivity, relationship_importance, decision_speed) that determine whether sales rep's actions work or backfire. The sales agent must learn to: * Infer hidden state (is this prospect relationship-driven or transactional?) * Adapt strategy mid-episode * Generalize across personalities (learn different policies for 8+ prospect archetypes) Novel Contribution: Closed-loop LLM oversight that analyzes failure modes and writes executable policy hints, creating a human-AI-RL feedback loop.
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