Reinforcement Learning
stable-baselines3
PandaReachDense-v3
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use chaitu9182/a2c-PandaReachDense-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use chaitu9182/a2c-PandaReachDense-v3 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="chaitu9182/a2c-PandaReachDense-v3", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
a2c-PandaReachDense-v3
This is a trained model of a a2c-PandaReachDense-v3 agent playing PandaReachDense-v3 using the Hugging Face Deep RL Course.
Model Details
- User: chaitu9182
- Environment: PandaReachDense-v3
- Library: stable-baselines3
- Evaluation Score: -0.24 +/- 0.14
- Downloads last month
- 6
Evaluation results
- mean_reward on PandaReachDense-v3self-reported-0.24 +/- 0.14