Reinforcement Learning
stable-baselines3
CrafterReward-v1
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use techandy42/crafter-PPO-1K with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use techandy42/crafter-PPO-1K with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="techandy42/crafter-PPO-1K", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
PPO Agent playing CrafterReward-v1
This is a trained model of a PPO agent playing CrafterReward-v1 using the stable-baselines3 library.
Usage (with Stable-baselines3)
TODO: Add your code
from stable_baselines3 import ...
from huggingface_sb3 import load_from_hub
...
- Downloads last month
- 1
Evaluation results
- mean_reward on CrafterReward-v1self-reported0.60 +/- 0.92