Shaping Machiavellian Agents: A New Approach to AI Alignment

This research addresses the challenging problem of aligning self-interested AI agents, which is critical for the safe deployment of increasingly sophisticated AI systems. The proposed test-time policy shaping offers a novel method for steering agent behavior without compromising their underlying decision-making processes.