Instructions to use Ravikanth8788/a2c-PandaReachDense-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use Ravikanth8788/a2c-PandaReachDense-v3 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="Ravikanth8788/a2c-PandaReachDense-v3", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
A2C Agent playing PandaReachDense-v3
This is a trained model of an A2C agent playing PandaReachDense-v3 using Stable-Baselines3 and VecNormalize.
Evaluation Results
Mean Reward: -1.50 +/- 0.30 (Required for pass: >= -3.5)
Usage
from stable_baselines3 import A2C
from huggingface_sb3 import load_from_hub
model = load_from_hub(repo_id="Ravikanth8788/a2c-PandaReachDense-v3", filename="a2c-PandaReachDense-v3.zip")
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Evaluation results
- mean_reward on PandaReachDense-v3self-reported-1.50 +/- 0.30