Reinforcement Learning
stable-baselines3
4d-snake
4d-snake-2x4
snake
deep-reinforcement-learning
sb3-contrib
maskable-ppo
backplay-curriculum
Eval Results (legacy)
Instructions to use BurnyCoder/4d-snake-exp02d-ppo-2x4-backplay-strict with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use BurnyCoder/4d-snake-exp02d-ppo-2x4-backplay-strict with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="BurnyCoder/4d-snake-exp02d-ppo-2x4-backplay-strict", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download best_model.zip from BurnyCoder/4d-snake-exp02d-ppo-2x4-backplay-strict: direct link, hf CLI and curl.
- Browser
- Download file 7.58 MB
-
https://huggingface.co/BurnyCoder/4d-snake-exp02d-ppo-2x4-backplay-strict/resolve/main/best_model.zip
- Command line
-
hf download hf://BurnyCoder/4d-snake-exp02d-ppo-2x4-backplay-strict/best_model.zip
-
curl -L -o best_model.zip https://huggingface.co/BurnyCoder/4d-snake-exp02d-ppo-2x4-backplay-strict/resolve/main/best_model.zip
7.58 MB
- Xet hash:
- e7d64a40ec63d7240fa85227e6f994a0ffd2ced559bc5795d561af93579380bb
- Size of remote file:
- 7.58 MB
- SHA256:
- c46ac9b22328295b144f8e0d762ed59c9945f53179b7fa799b287378164bb9f9
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