Reinforcement Learning
stable-baselines3
4d-snake
4d-snake-4x4
snake
deep-reinforcement-learning
sb3-contrib
maskable-ppo
Eval Results (legacy)
Instructions to use BurnyCoder/4d-snake-exp05b-ppo-4x4-from-bc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use BurnyCoder/4d-snake-exp05b-ppo-4x4-from-bc with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="BurnyCoder/4d-snake-exp05b-ppo-4x4-from-bc", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download versions.json from BurnyCoder/4d-snake-exp05b-ppo-4x4-from-bc: direct link, hf CLI and curl.
- Browser
- Download file 270 Bytes
-
https://huggingface.co/BurnyCoder/4d-snake-exp05b-ppo-4x4-from-bc/resolve/main/versions.json
- Command line
-
hf download hf://BurnyCoder/4d-snake-exp05b-ppo-4x4-from-bc/versions.json
-
curl -L -o versions.json https://huggingface.co/BurnyCoder/4d-snake-exp05b-ppo-4x4-from-bc/resolve/main/versions.json
270 Bytes
| { | |
| "torch": "2.14.0+cu130", | |
| "gymnasium": "1.3.0", | |
| "stable-baselines3": "2.9.0", | |
| "sb3-contrib": "2.9.0", | |
| "numpy": "2.5.2", | |
| "pygame-ce": "2.5.8", | |
| "git_commit": "016b5dc97583b7c086ad172226997e6aeea92dca", | |
| "cuda_device": "NVIDIA GeForce RTX 5070 Laptop GPU" | |
| } |