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Highly modularized implementation of popular deep RL algorithms by PyTorch. My principal here is to
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reuse as much components as I can through different algorithms, use as less tricks as I can and switch
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easily between classical control tasks like CartPole and Atari games with raw pixel inputs.
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Implemented algorithms:
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* Deep Q-Learning (DQN)
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* Double DQN
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* Dueling DQN
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