RL-trained AI double agents using combined ToM and fooling rewards outperform prompted frontier models on a new belief-steering task and show bidirectional emergence between the two skills.
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Playing Along: Learning a Double-Agent Defender for Belief Steering via Theory of Mind
RL-trained AI double agents using combined ToM and fooling rewards outperform prompted frontier models on a new belief-steering task and show bidirectional emergence between the two skills.