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intermediate_source/reinforcement_q_learning.py

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This tutorial shows how to use PyTorch to train a Deep Q Learning (DQN) agent
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on the CartPole-v0 task from the `OpenAI Gym <https://www.gymlibrary.ml/>`__.
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on the CartPole-v0 task from the `OpenAI Gym <https://www.gymlibrary.dev/>`__.
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**Task**
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The agent has to decide between two actions - moving the cart left or
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right - so that the pole attached to it stays upright. You can find an
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official leaderboard with various algorithms and visualizations at the
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`Gym website <https://www.gymlibrary.ml/environments/classic_control/cart_pole>`__.
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`Gym website <https://www.gymlibrary.dev/environments/classic_control/cart_pole>`__.
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.. figure:: /_static/img/cartpole.gif
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:alt: cartpole

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