
# (CleanRL) **DQN** Agent Playing **Lagomorph/CartPoleGoal-v1**

This is a trained model of a DQN agent playing a custom environment named Lagomorph/CartPoleGoal-v1.
This is a modification of CartPole to include a goal position where the pole should be balanced.
The model was trained by using [CleanRL](https://github.com/vwxyzjn/cleanrl).

## Get Started

I'll currently update this with the github repo.

## Command to reproduce the training

TODO

# Hyperparameters
```python
{'batch_size': 128,
 'buffer_size': 10000,
 'capture_video': True,
 'checkpoint': False,
 'checkpoint_frequency': 100000,
 'cuda': True,
 'end_e': 0.05,
 'env_id': 'Lagomorph/CartPoleGoal-v1',
 'exp_name': 'Lagomorph-CartPoleGoal',
 'exploration_fraction': 0.5,
 'gamma': 0.99,
 'hf_entity': 'odiaz1066',
 'initial_steps': 0,
 'learning_rate': 0.00025,
 'learning_starts': 10000,
 'num_envs': 1,
 'resume': True,
 'save_model': True,
 'seed': 42,
 'start_e': 1,
 'target_network_frequency': 500,
 'tau': 1.0,
 'torch_deterministic': True,
 'total_timesteps': 0,
 'track': False,
 'train_frequency': 10,
 'upload_model': True,
 'wandb_entity': None,
 'wandb_project_name': 'lagomorph'}
```
    
{"library_name": "cleanrl", "tags": ["Lagomorph/CartPoleGoal-v1", "deep-reinforcement-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "DQN", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "Lagomorph/CartPoleGoal-v1", "type": "Lagomorph/CartPoleGoal-v1"}, "metrics": [{"type": "mean_reward", "value": "3420.00 +/- 1874.80", "name": "mean_reward", "verified": false}]}]}]}
cleanrl tensorboard Lagomorph/CartPoleGoal-v1 deep-reinforcement-learning reinforcement-learning custom-implementation model-index has_space region:us
TAGS
#cleanrl #tensorboard #Lagomorph/CartPoleGoal-v1 #deep-reinforcement-learning #reinforcement-learning #custom-implementation #model-index #has_space #region-us 


# (CleanRL) DQN Agent Playing Lagomorph/CartPoleGoal-v1

This is a trained model of a DQN agent playing a custom environment named Lagomorph/CartPoleGoal-v1.
This is a modification of CartPole to include a goal position where the pole should be balanced.
The model was trained by using CleanRL.

## Get Started

I'll currently update this with the github repo.

## Command to reproduce the training

TODO

# Hyperparameters

    
# (CleanRL) DQN Agent Playing Lagomorph/CartPoleGoal-v1

This is a trained model of a DQN agent playing a custom environment named Lagomorph/CartPoleGoal-v1.
This is a modification of CartPole to include a goal position where the pole should be balanced.
The model was trained by using CleanRL. ## Get Started

I'll currently update this with the github repo. ## Command to reproduce the training

TODO # Hyperparameters
TAGS
#cleanrl #tensorboard #Lagomorph/CartPoleGoal-v1 #deep-reinforcement-learning #reinforcement-learning #custom-implementation #model-index #has_space #region-us 
 # (CleanRL) DQN Agent Playing Lagomorph/CartPoleGoal-v1

This is a trained model of a DQN agent playing a custom environment named Lagomorph/CartPoleGoal-v1.
This is a modification of CartPole to include a goal position where the pole should be balanced.
The model was trained by using CleanRL. ## Get Started

I'll currently update this with the github repo. ## Command to reproduce the training

TODO # Hyperparameters