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# **DQN** Agent playing **MountainCar-v0**
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This is a trained model of a **DQN** agent playing **MountainCar-v0
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Parameters:
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```python
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# **DQN** Agent playing **MountainCar-v0**
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This is a trained model of a **DQN** agent playing **MountainCar-v0**.
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We train a three-layer MLP as the Q-network.
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We store the transitions in a replay buffer.
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After the network converges, we stop training and validate its performance in
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comparison to a random baseline.
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Parameters:
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```python
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