| 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"]) | |
| ``` | |