Reinforcement Learning
stable-baselines3
SpaceInvadersNoFrameskip-v4
deep-rl-course
Eval Results (legacy)
Instructions to use Subhash3008/dqn-SpaceInvadersNoFrameskip-v4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use Subhash3008/dqn-SpaceInvadersNoFrameskip-v4 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="Subhash3008/dqn-SpaceInvadersNoFrameskip-v4", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
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Download README.md from Subhash3008/dqn-SpaceInvadersNoFrameskip-v4: direct link, hf CLI and curl.
- Browser
- Download file 752 Bytes
-
https://huggingface.co/Subhash3008/dqn-SpaceInvadersNoFrameskip-v4/resolve/main/README.md
- Command line
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hf download hf://Subhash3008/dqn-SpaceInvadersNoFrameskip-v4/README.md
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curl -L -o README.md https://huggingface.co/Subhash3008/dqn-SpaceInvadersNoFrameskip-v4/resolve/main/README.md
752 Bytes
| tags: | |
| - reinforcement-learning | |
| - SpaceInvadersNoFrameskip-v4 | |
| - stable-baselines3 | |
| - deep-rl-course | |
| model-index: | |
| - name: dqn-SpaceInvadersNoFrameskip-v4 | |
| results: | |
| - task: | |
| type: reinforcement-learning | |
| name: reinforcement-learning | |
| dataset: | |
| name: SpaceInvadersNoFrameskip-v4 | |
| type: SpaceInvadersNoFrameskip-v4 | |
| metrics: | |
| - type: mean_reward | |
| value: 780.0 +/- 45.0 | |
| name: mean_reward | |
| # DQN SpaceInvadersNoFrameskip-v4 | |
| This is a trained model for the **Hugging Face Deep Reinforcement Learning Course**. | |
| - **Environment**: `SpaceInvadersNoFrameskip-v4` | |
| - **Library**: `stable-baselines3` | |
| - **Evaluation Score**: `780.0 +/- 45.0` | |
| Trained and submitted by **Subhash3008**. | |