
#**DQN** Agent Playing **minetester-treechop_shaped-v0**

This is a trained model of a DQN agent playing minetester-treechop_shaped-v0.
The model was trained by using [minetest-baselines](https://github.com/EleutherAI/minetest-baselines).


## Command to reproduce the training

```bash
python -m minetest_baselines.jax.train_dqn_cleanrl.py --exp-name dqn_treechop-v0_fixedseed --seed 1 --capture-video --track --wandb-entity rkla --learning-rate 3e-4 --save-model --upload-model --hf-entity rkla --buffer-size 100000 --exploration-fraction 0.8 --learning-rate 0.0003 --total-timesteps 1000000
```

# Hyperparameters
```python
{'batch_size': 128,
 'buffer_size': 100000,
 'capture_video': True,
 'end_e': 0.01,
 'env_id': 'minetester-treechop_shaped-v0',
 'exp_name': 'dqn_treechop-v0_fixedseed',
 'exploration_fraction': 0.8,
 'gamma': 0.99,
 'hf_entity': 'rkla',
 'learning_rate': 0.0003,
 'learning_starts': 5000,
 'num_envs': 1,
 'save_model': True,
 'seed': 1,
 'start_e': 1,
 'target_network_frequency': 10000,
 'tau': 1.0,
 'total_timesteps': 1000000,
 'track': True,
 'train_frequency': 10,
 'upload_model': True,
 'wandb_entity': 'rkla',
 'wandb_project_name': 'cleanRL'}
```
    
{"library_name": "cleanrl", "tags": ["minetester-treechop_shaped-v0", "deep-reinforcement-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "DQN", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "minetester-treechop_shaped-v0", "type": "minetester-treechop_shaped-v0"}, "metrics": [{"type": "mean_reward", "value": "15.86 +/- 0.00", "name": "mean_reward", "verified": false}]}]}]}
cleanrl tensorboard minetester-treechop_shaped-v0 deep-reinforcement-learning reinforcement-learning custom-implementation model-index region:us
TAGS
#cleanrl #tensorboard #minetester-treechop_shaped-v0 #deep-reinforcement-learning #reinforcement-learning #custom-implementation #model-index #region-us 


#DQN Agent Playing minetester-treechop_shaped-v0

This is a trained model of a DQN agent playing minetester-treechop_shaped-v0.
The model was trained by using minetest-baselines.


## Command to reproduce the training



# Hyperparameters

    
## Command to reproduce the training # Hyperparameters
TAGS
#cleanrl #tensorboard #minetester-treechop_shaped-v0 #deep-reinforcement-learning #reinforcement-learning #custom-implementation #model-index #region-us 
 ## Command to reproduce the training # Hyperparameters
TAGS
#cleanrl #tensorboard #minetester-treechop_shaped-v0 #deep-reinforcement-learning #reinforcement-learning #custom-implementation #model-index #region-us 
## Command to reproduce the training# Hyperparameters