Agent57
Agent57 is a model-free distributed reinforcement learning algorithm developed by Google DeepMind and reported in 2020.
Google DeepMind
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Showing 1-12 of 12 articles
AlphaChip
AlphaChip is a reinforcement-learning method developed by Google DeepMind for designing the physical layout of computer chips, specifically the placement of large circuit components known as macros.
AlphaDev
AlphaDev is an artificial intelligence system built by Google DeepMind that used deep reinforcement learning to discover faster algorithms for common computing tasks, most notably small-scale sorting and…
AlphaGo Zero
AlphaGo Zero is a Go-playing computer program developed by DeepMind that reached a superhuman level entirely through self-play reinforcement learning, starting from random play with no human game data.
AlphaStar
AlphaStar is an artificial intelligence system built by Google DeepMind that in 2019 became the first AI to reach Grandmaster level in the real-time strategy game StarCraft II
AlphaTensor
AlphaTensor is an artificial-intelligence system from DeepMind that uses deep reinforcement learning to discover faster algorithms for matrix multiplication.
AlphaZero
AlphaZero is a general-purpose reinforcement learning algorithm developed by DeepMind that taught itself to play chess, shogi (Japanese chess), and Go at a superhuman level from scratch, using only the rules…
DQN
The Deep Q-Network (DQN) is a model-free, off-policy reinforcement learning algorithm that combines Q-learning with a deep neural network function approximator, learning to act directly from raw pixels.
David Silver
David Silver is a British computer scientist whose work has defined the modern field of deep reinforcement learning and computer game-playing.
Gato (DeepMind)
Gato is a single generalist AI agent built by DeepMind and described in the May 2022 paper "A Generalist Agent" (arXiv:2205.06175).
Ioannis Antonoglou
Ioannis Antonoglou is a Greek artificial intelligence researcher known as a co-creator of several of the landmark reinforcement learning systems built at Google DeepMind, including the Atari-playing Deep…
MuZero
MuZero is a model-based reinforcement learning algorithm developed by DeepMind that masters Go, chess, shogi, and 57 Atari video games at superhuman or state of the art level without ever being told the rules…