Reinforcement Learning
stable-baselines3
SpaceInvadersNoFrameskip-v4
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use HuggingDLRL/My_first_DQN_SpaceInvaders with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use HuggingDLRL/My_first_DQN_SpaceInvaders with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="HuggingDLRL/My_first_DQN_SpaceInvaders", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download results.json from HuggingDLRL/My_first_DQN_SpaceInvaders: direct link, hf CLI and curl.
- Browser
- Download file 153 Bytes
-
https://huggingface.co/HuggingDLRL/My_first_DQN_SpaceInvaders/resolve/main/results.json
- Command line
-
hf download hf://HuggingDLRL/My_first_DQN_SpaceInvaders/results.json
-
curl -L -o results.json https://huggingface.co/HuggingDLRL/My_first_DQN_SpaceInvaders/resolve/main/results.json
153 Bytes
| {"mean_reward": 467.0, "std_reward": 132.78177585798437, "is_deterministic": false, "n_eval_episodes": 10, "eval_datetime": "2025-03-11T14:17:48.302188"} |