Reinforcement Learning
stable-baselines3
PandaReachDense-v3
ppo
deep-rl-course
custom-implementation
Eval Results (legacy)
Instructions to use Deepuamrita23115/ppo-PandaReachDense-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use Deepuamrita23115/ppo-PandaReachDense-v3 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="Deepuamrita23115/ppo-PandaReachDense-v3", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
ppo-PandaReachDense-v3
This model was trained as part of the Hugging Face Deep Reinforcement Learning Course.
Model Description
- Environment:
PandaReachDense-v3 - Library:
stable-baselines3 - Algorithm:
ppo - Mean Reward:
-2.00 +/- 0.10
Evaluation Results
The model was evaluated on PandaReachDense-v3 and achieved an average reward of -2.00 with a standard deviation of 0.10.
- Downloads last month
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Evaluation results
- mean_reward on PandaReachDense-v3self-reported-2.00 +/- 0.10