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# (CleanRL) **DQN** Agent Playing **Lagomorph/CartPoleGoal-v1**
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This is a trained model of a DQN agent playing Lagomorph/CartPoleGoal-v1.
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## Get Started
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```
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pip install "cleanrl[Lagomorph-CartPoleGoal]"
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python -m cleanrl_utils.enjoy --exp-name Lagomorph-CartPoleGoal --env-id Lagomorph/CartPoleGoal-v1
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```
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Please refer to the [documentation](https://docs.cleanrl.dev/get-started/zoo/) for more detail.
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## Command to reproduce the training
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curl -OL https://huggingface.co/odiaz1066/CartPoleGoal-Lagomorph-seed42/raw/main/dqn_lagomorph.py
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curl -OL https://huggingface.co/odiaz1066/CartPoleGoal-Lagomorph-seed42/raw/main/pyproject.toml
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curl -OL https://huggingface.co/odiaz1066/CartPoleGoal-Lagomorph-seed42/raw/main/poetry.lock
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poetry install --all-extras
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python dqn_lagomorph.py --save-model --capture-video --exp-name=Lagomorph-CartPoleGoal --seed=42 --resume --total-timesteps 0 --upload-model --seed 42 --hf-entity odiaz1066
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```
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# Hyperparameters
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```python
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# (CleanRL) **DQN** Agent Playing **Lagomorph/CartPoleGoal-v1**
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This is a trained model of a DQN agent playing a custom environment named Lagomorph/CartPoleGoal-v1.
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This is a modification of CartPole to include a goal position where the pole should be balanced.
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The model was trained by using [CleanRL](https://github.com/vwxyzjn/cleanrl).
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## Get Started
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I'll currently update this with the github repo.
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## Command to reproduce the training
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TODO
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# Hyperparameters
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```python
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