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Deepmind's New Gamer AI Goes "for the Win" in Multiplayer First-Person Video Games (2 of 6)

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American Association for the Advancement of Science (AAAS)

Deepmind's New Gamer AI Goes "for the Win" in Multiplayer First-Person Video Games (2 of 6)

image: Figure showing win rates of human players against response-delayed agents. These are low, indicating that even with human-comparable reaction delays, agents outperform human players. This material relates to a paper that appeared in the May 31, 2019 issue of Science, published by AAAS. The paper, by M. Jaderberg at DeepMind in London, UK, and colleagues was titled, 'Human-level performance in 3D multiplayer games with population-based reinforcement learning.' view more 

Credit: DeepMind


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