Deepmind's New Gamer AI Goes "for the Win" in Multiplayer First-Person Video Games (3 of 6) (VIDEO)

American Association for the Advancement of Science (AAAS)

Caption

Gif showing more recent results agents playing in two different full Quake III Arena maps with different game modes. 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.'

Credit

DeepMind

Usage Restrictions

Please cite the owner of the material when publishing. This material may be freely used by reporters as part of news coverage, with proper attribution. Non-reporters must contact <i>Science</i> for permission.

License

Licensed content

Disclaimer: AAAS and EurekAlert! are not responsible for the accuracy of news releases posted to EurekAlert! by contributing institutions or for the use of any information through the EurekAlert system.