Instructions to use nileshsarkar-ai/crafter-ppo-exp-a with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use nileshsarkar-ai/crafter-ppo-exp-a with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="nileshsarkar-ai/crafter-ppo-exp-a", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Crafter PPO Experiment A
Stable-Baselines3 PPO with CnnPolicy, trained on pinned upstream Crafter from
64 x 64 RGB observations. This public repository stores seed-0 checkpoints at
1M, 5M, 10M, 20M, 30M, 40M, and 50M environment steps, together with milestone
evaluation metrics and gameplay videos.
The experiment configuration, environment commit, package versions, evaluation
protocol, limitations, and reproduction commands are maintained in the source
repository under experiments/crafter-ppo/exp_a/.
Checkpoint publication does not constitute a performance claim. Evaluate the models using the recorded protocol and report uncertainty.
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