Reinforcement Learning
stable-baselines3
PandaReachDense-v3
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use swaroop06/a2c-PandaReachDense-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use swaroop06/a2c-PandaReachDense-v3 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="swaroop06/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 for the Hugging Face Deep Reinforcement Learning Course (Unit 6).
Evaluation Results
- Mean Reward: -0.24 +/- 0.14
- Environment: PandaReachDense-v3
- Algorithm: A2C
- Library: stable-baselines3
Usage
Trained and evaluated for the Hugging Face Deep RL Course certification.
- Downloads last month
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Evaluation results
- mean_reward on PandaReachDense-v3self-reported-0.24 +/- 0.14