{ "

Deep Q Networks (DQN)

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This is a PyTorch implementation of paper Playing Atari with Deep Reinforcement Learning along with Dueling Network, Prioritized Replay and Double Q Network.

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Here is the experiment and model implementation.

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_^_0_^_

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\u30c7\u30a3\u30fc\u30d7Q\u30cd\u30c3\u30c8\u30ef\u30fc\u30af (DQN)

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\u3053\u308c\u306f\u3001\u30c7\u30a3\u30fc\u30d7\u5f37\u5316\u5b66\u7fd2\u3092\u4f7f\u3063\u305f\u30a2\u30bf\u30ea\u30d7\u30ec\u30a4\u3068\u30c7\u30e5\u30a8\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u3001\u512a\u5148\u30ea\u30d7\u30ec\u30a4\u3001\u30c0\u30d6\u30ebQ\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u3092PyTorch\u3067\u5b9f\u88c5\u3057\u305f\u3082\u306e\u3067\u3059\u3002

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\u3053\u308c\u304c\u5b9f\u9a13\u3068\u30e2\u30c7\u30eb\u306e\u5b9f\u88c5\u3067\u3059\u3002

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_^_0_^_

\n", "Deep Q Networks (DQN)": "\u30c7\u30a3\u30fc\u30d7Q\u30cd\u30c3\u30c8\u30ef\u30fc\u30af (DQN)" }