Reinforcement Learning
stable-baselines3
SpaceInvadersNoFrameskip-v4
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use baronase/unit3-atari-dqn-1m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use baronase/unit3-atari-dqn-1m with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="baronase/unit3-atari-dqn-1m", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download env_kwargs.yml from baronase/unit3-atari-dqn-1m: direct link, hf CLI and curl.
- Browser
- Download file 23 Bytes
-
https://huggingface.co/baronase/unit3-atari-dqn-1m/resolve/main/env_kwargs.yml
- Command line
-
hf download hf://baronase/unit3-atari-dqn-1m/env_kwargs.yml
-
curl -L -o env_kwargs.yml https://huggingface.co/baronase/unit3-atari-dqn-1m/resolve/main/env_kwargs.yml
23 Bytes
| render_mode: rgb_array | |