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The folks at DeepMind continue to produce clever original work at an astounding pace, with no signs of slowing down.

Whenever I think I've finally gotten a handle on the state-of-the-art in AI research, they come up with something new that looks really interesting.

They're now training deep-reinforcement-learning agents to co-evolve in increasingly more complex settings, to see if, how, and when the agents learn to cooperate (or not). Should they find that agents learn to behave in ways that, say, contradict widely accepted economic theory, this line of work could easily lead to a Nobel prize in Economics.

Very cool.



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