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* Discrete and continuous action spaces |
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* Python (2 and 3) control interface |
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* Visualizing network outputs in environment |
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* Easily definable Curriculum Learning scenarios |
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* Broadcasting of Agent behavior for supervised learning |
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* Tensorflow Sharp Agent Embedding _[Experimental]_ |
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## Creating an Environment |
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