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As pointed out in FAIR's report, "[d]uring reinforcement learning, the agent attempts to improve its parameters from conversations with another agent." The creation of the bot language came about when it was more efficient and more rewarding in bot-to-bot communication to have a shared language (as opposed to mimicking our human language)."[T]he researchers found that updating the parameters of both agents led to divergence from human language as the agents developed their own language for negotiating."-Deal or no deal?

In order for bots to communicate more efficiently with other bots, they learned to create their own simple language.The researchers noted, however, that the bots had a tendency to turn whole sentences into one-word utterances (which wouldn't be desirable as an interpretable language).Reinforcement Learning and the Creation of a Bot Langauge Reinforcement learning is a form of trial and error, where the bots are keeping track of what receives a reward and what doesn't.The findings by the Facebook researchers falls on the heels of research from Open AI, which in March 2017 reported the ability for bots to create their own language.Similar to the report by FAIR, the researchers found that bots were able to create their own language when going through reinforcement learning.

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