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---
tags:
- BreakoutNoFrameskip-v4
- dqn
- reinforcement-learning
- custom-implementation
model-index:
- name: dqn-BreakoutNoFrameSkip-v4_cl
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: BreakoutNoFrameskip-v4
type: BreakoutNoFrameskip-v4
metrics:
- type: mean_reward
value: 3.20 +/- 1.99
name: mean_reward
verified: false
---
# **Q-Learning** Agent playing1 **BreakoutNoFrameskip-v4**
This is a trained model of a **Q-Learning** agent playing **BreakoutNoFrameskip-v4** .
## Usage
```python
model = load_from_hub(repo_id="Arch4ngel/dqn-BreakoutNoFrameSkip-v4_cl", filename="dqn.pkl")
# Don't forget to check if you need to add additional attributes (is_slippery=False etc)
env = gym.make(model["env_id"])
```
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