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Published 20 hours ago • verified publisher icon Grzego
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Variation of "Asynchronous Methods for Deep Reinforcement Learning" with multiple processes generating experience for agent (Keras + Theano + OpenAI Gym)[1-step Q-learning, n-step Q-learning, A3C]

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Scores Too Low

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I don't get any errors, but when I run play.py for Breakout using your sample weights, it gets scores of only a few points. And if I train the model...

impulsecorp avatar impulsecorp

Update train.py

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added python 2.x compatibility added workaround for breakout and space invaders to correct the number of moves Note: this workaround just tells the acting methods that the move space will...

pavitrakumar78 avatar pavitrakumar78

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verified publisher icon Grzego

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Variation of "Asynchronous Methods for Deep Reinforcement Learning" with multiple processes generating experience for agent (Keras + Theano + OpenAI Gym)[1-step Q-learning, n-step Q-learning, A3C]

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