Reinforcement Learning
stable-baselines3
SpaceInvadersNoFrameskip-v4
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use ebgazar/DQN-SOTASpaceInvaders with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use ebgazar/DQN-SOTASpaceInvaders with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="ebgazar/DQN-SOTASpaceInvaders", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download results.json from ebgazar/DQN-SOTASpaceInvaders: direct link, hf CLI and curl.
- Browser
- Download file 152 Bytes
-
https://huggingface.co/ebgazar/DQN-SOTASpaceInvaders/resolve/main/results.json
- Command line
-
hf download hf://ebgazar/DQN-SOTASpaceInvaders/results.json
-
curl -L -o results.json https://huggingface.co/ebgazar/DQN-SOTASpaceInvaders/resolve/main/results.json
152 Bytes
| {"mean_reward": 589.0, "std_reward": 89.24124606929242, "is_deterministic": false, "n_eval_episodes": 10, "eval_datetime": "2025-10-02T15:00:37.613916"} |