Reinforcement Learning
stable-baselines3
PandaPushDense-v2
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use swaroop06/a2c-PandaPushDense-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use swaroop06/a2c-PandaPushDense-v2 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="swaroop06/a2c-PandaPushDense-v2", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
A2C agent playing PandaPushDense-v2
This is a trained model of an A2C agent playing PandaPushDense-v2 for the Hugging Face Deep Reinforcement Learning Course (Unit 6 (PandaPush)).
Evaluation Results
- Mean Reward: -0.50 +/- 0.20
- Environment: PandaPushDense-v2
- Algorithm: A2C
- Library: stable-baselines3
Usage
Trained and evaluated for the Hugging Face Deep RL Course.
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Evaluation results
- mean_reward on PandaPushDense-v2self-reported-0.50 +/- 0.20