
# (CleanRL) **DQPN_freq** Agent Playing **CartPole-v1**

This is a trained model of a DQPN_freq agent playing CartPole-v1.
The model was trained by using [CleanRL](https://github.com/vwxyzjn/cleanrl) and the most up-to-date training code can be
found [here](https://github.com/vwxyzjn/cleanrl/blob/master/cleanrl/CP_DQPN_x5.py).

## Get Started

To use this model, please install the `cleanrl` package with the following command:

```
pip install "cleanrl[CP_DQPN_x5]"
python -m cleanrl_utils.enjoy --exp-name CP_DQPN_x5 --env-id CartPole-v1
```

Please refer to the [documentation](https://docs.cleanrl.dev/get-started/zoo/) for more detail.


## Command to reproduce the training

```bash
curl -OL https://huggingface.co/pfunk/CartPole-v1-CP_DQPN_x5-seed2/raw/main/dqpn_freq.py
curl -OL https://huggingface.co/pfunk/CartPole-v1-CP_DQPN_x5-seed2/raw/main/pyproject.toml
curl -OL https://huggingface.co/pfunk/CartPole-v1-CP_DQPN_x5-seed2/raw/main/poetry.lock
poetry install --all-extras
python dqpn_freq.py --track --wandb-entity pfunk --wandb-project-name dqpn --capture-video true --save-model true --upload-model true --hf-entity pfunk --exp-name CP_DQPN_x5 --policy-network-frequency 100 --seed 2
```

# Hyperparameters
```python
{'alg_type': 'dqpn_freq.py',
 'batch_size': 256,
 'buffer_size': 300000,
 'capture_video': True,
 'cuda': True,
 'end_e': 0.1,
 'env_id': 'CartPole-v1',
 'exp_name': 'CP_DQPN_x5',
 'exploration_fraction': 0.2,
 'gamma': 1.0,
 'hf_entity': 'pfunk',
 'learning_rate': 0.0001,
 'learning_starts': 1000,
 'policy_network_frequency': 100,
 'policy_tau': 1.0,
 'save_model': True,
 'seed': 2,
 'start_e': 1.0,
 'target_network_frequency': 20,
 'target_tau': 1.0,
 'torch_deterministic': True,
 'total_timesteps': 500000,
 'track': True,
 'train_frequency': 1,
 'upload_model': True,
 'wandb_entity': 'pfunk',
 'wandb_project_name': 'dqpn'}
```
    
{"library_name": "cleanrl", "tags": ["CartPole-v1", "deep-reinforcement-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "DQPN_freq", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "CartPole-v1", "type": "CartPole-v1"}, "metrics": [{"type": "mean_reward", "value": "495.13 +/- 0.00", "name": "mean_reward", "verified": false}]}]}]}
cleanrl tensorboard CartPole-v1 deep-reinforcement-learning reinforcement-learning custom-implementation model-index region:us
TAGS
#cleanrl #tensorboard #CartPole-v1 #deep-reinforcement-learning #reinforcement-learning #custom-implementation #model-index #region-us 


# (CleanRL) DQPN_freq Agent Playing CartPole-v1

This is a trained model of a DQPN_freq agent playing CartPole-v1.
The model was trained by using CleanRL and the most up-to-date training code can be
found here.

## Get Started

To use this model, please install the 'cleanrl' package with the following command:



Please refer to the documentation for more detail.


## Command to reproduce the training



# Hyperparameters

    
# (CleanRL) DQPN_freq Agent Playing CartPole-v1

This is a trained model of a DQPN_freq agent playing CartPole-v1.
The model was trained by using CleanRL and the most up-to-date training code can be
found here. ## Get Started

To use this model, please install the 'cleanrl' package with the following command:



Please refer to the documentation for more detail. ## Command to reproduce the training # Hyperparameters
TAGS
#cleanrl #tensorboard #CartPole-v1 #deep-reinforcement-learning #reinforcement-learning #custom-implementation #model-index #region-us 
 # (CleanRL) DQPN_freq Agent Playing CartPole-v1

This is a trained model of a DQPN_freq agent playing CartPole-v1.
The model was trained by using CleanRL and the most up-to-date training code can be
found here. ## Get Started

To use this model, please install the 'cleanrl' package with the following command:



Please refer to the documentation for more detail. ## Command to reproduce the training # Hyperparameters
TAGS
#cleanrl #tensorboard #CartPole-v1 #deep-reinforcement-learning #reinforcement-learning #custom-implementation #model-index #region-us 
# (CleanRL) DQPN_freq Agent Playing CartPole-v1

This is a trained model of a DQPN_freq agent playing CartPole-v1.
The model was trained by using CleanRL and the most up-to-date training code can be
found here.## Get Started

To use this model, please install the 'cleanrl' package with the following command:



Please refer to the documentation for more detail.## Command to reproduce the training# Hyperparameters