AI RESEARCH
One Policy, Infinite NPCs: Persona-Traceable Shared RL Policies for Scalable Game Agents
arXiv CS.AI
•
ArXi:2605.23652v1 Announce Type: new On a 300-persona life-simulation benchmark, pcsp achieves compositional zero-shot persona identification up to 17x above chance, Spearman rho approx 0.73 semantic-behavioral alignment, and 22x faster inference than an LLM-as-policy baseline. Life simulation games require hundreds to thousands of non-player characters (NPCs) that behave consistently with distinct personalities while remaining controllable through designer-authored natural language. Existing methods fail on constraints like persona consistency, controllability, or real-time inference. We.