Agents can exploit weak opponents much more effectively than Nash equilibrium strategies while maintaining verifiable safety guarantees by self-auditing their strategies before deployment, rather than relying on external safety checks.
This paper presents CS-RNR, a method for game-playing agents to safely exploit flawed opponents while guaranteeing their own safety. The agent tracks opponent behavior patterns, identifies exploitable deviations from equilibrium play, and audits its own counter-strategies before deployment—ensuring every exploit it commits to has been verified to stay within a user-specified safety budget.