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---
tags:
- SpaceInvadersNoFrameskip-v4
- deep-reinforcement-learning
- reinforcement-learning
- custom-implementation
library_name: cleanrl
model-index:
- name: DQN
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: SpaceInvadersNoFrameskip-v4
type: SpaceInvadersNoFrameskip-v4
metrics:
- type: mean_reward
value: 705.50 +/- 237.55
name: mean_reward
verified: false
---
# DQN **SpaceInvadersNoFrameskip-v4**
# Hyperparameters
```python
{'batch_size': 32,
'buffer_size': 100000,
'capture_video': False,
'cuda': True,
'end_e': 0.01,
'env_id': 'SpaceInvadersNoFrameskip-v4',
'exp_name': 'dqn_atari_e',
'exploration_fraction': 0.1,
'gamma': 0.99,
'hf_entity': 'mallycrip',
'learning_rate': 0.0001,
'learning_starts': 80000,
'save_model': False,
'seed': 1,
'start_e': 1,
'target_network_frequency': 1000,
'tau': 1.0,
'torch_deterministic': True,
'total_timesteps': 10000000,
'track': False,
'train_frequency': 4,
'upload_model': True,
'wandb_entity': None,
'wandb_project_name': 'cleanRL'}
```
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