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Introducing Dreamer: Scalable Reinforcement Learning Using World Models

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Introducing Dreamer: Scalable Reinforcement Learning Using World Models Skip to main content Introducing Dreamer: Scalable Reinforcement Learning Using World Models March 18, 2020 Posted by Danijar Hafner, Student Researcher, Google Research Quick links Share Copy link × Research into how artificial agents can choose actions to achieve goals is making rapid progress in large part due to the use of reinforcement learning (RL). Model-free approaches to RL, which learn to predict successful actions through trial and error, have enabled DeepMind's DQN to play Atari games and AlphaStar to beat worl

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