From Pixels to Actions: Human-level control through Deep Reinforcement Learning

Posted by Dharshan Kumaran and Demis Hassabis, Google DeepMind, London Remember the classic videogame Breakout on the Atari 2600? When you first sat down to try it, you probably learned to play well pretty quickly, because you already knew how to bounce a ball off a wall in real life. You may have even worked up a strategy to maximise your overall score at the expense of more immediate rewards. Bu

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DQN 論文

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本当に DQN だった