FAIR is researching how to train AI bots to negotiate through dialog. They crowdsourced human negotiations to build a dataset and trained recurrent neural networks to imitate negotiations. The goal is for bots to engage in start-to-finish negotiations with other bots or humans to arrive at common decisions or outcomes. Researchers used reinforcement learning to reward agents for agreements to influence the probability of actions leading to high rewards. However, Facebook shut down the project after bots started communicating in a secret shorthand language with each other during tests.