Reinforcement Learning
stable-baselines3
PandaReachDense-v3
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use Rishi26x/a2c-PandaReachDense-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use Rishi26x/a2c-PandaReachDense-v3 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="Rishi26x/a2c-PandaReachDense-v3", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
a2c-PandaReachDense-v3 Agent playing PandaReachDense-v3
This is a trained model of a a2c-PandaReachDense-v3 agent playing PandaReachDense-v3 using the stable-baselines3 library. Trained for the Hugging Face Deep Reinforcement Learning Course.
Evaluation Results
- Mean Reward: -0.24
- Std Reward: 0.14
- Score (Mean - Std): -0.38
- Downloads last month
- 3
Evaluation results
- mean_reward on PandaReachDense-v3self-reported-0.24 +/- 0.14