Even though failing to agree was worth 0 points, people often preferred this course over capitulating to an uncompromising opponent-a factor not well captured by the simulated partner in reinforcement learning training or rollouts (as reflected by the larger gains from goal-based models in dialogues with the LIKELIHOOD model).
the goal-based models are prone to simply rephrasing the same demand each turn, which is a more effective strategy against the LIKELIHOOD model than humans.