To develop an AI system capable of doing such difficult work, a team of researchers at the California Institute of Technology ...

The company DeepMind, now Google DeepMind, used reinforcement learning to create AlphaGo. AlphaGo defeated top Go player Lee Sedol in a five-match game in 2016.

The company DeepMind, now Google DeepMind, used reinforcement learning to create AlphaGo. AlphaGo defeated top Go player Lee Sedol in a five-match game in 2016.

The company DeepMind, now Google DeepMind, used reinforcement learning to create AlphaGo. AlphaGo defeated top Go player Lee Sedol in a five-match game in 2016. Article continues below this ad ...

Google’s DeepMind team that specializes in machine learning and artificial intelligence has created an AI called AlphaGo Zero that is able to teach itself the Chinese strategy game Go.

Popular reinforcement learning examples include game-playing AI like DeepMind’s AlphaGo and AlphaStar, which plays StarCraft 2.

The new agent, called Asimov, was developed by Reflection, a small but ambitious startup cofounded by top AI researchers from ...

AlphaGo follows in the footsteps of the chess-playing Deep Blue computer that beat Garry Kasporov in 1997. Another IBM computer, Watson, won in 2011 in the Jeopardy quiz show.

With deep neural networks (often called artificial intelligence), AlphaGo was taught how to learn the game. Speaking to The Guardian, Cassabas said “we call it deep reinforcement learning.