Reinforcement Learning
stable-baselines3
PandaPickAndPlace-v3
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use MRNH/a2c-PandaPickAndPlace-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use MRNH/a2c-PandaPickAndPlace-v3 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="MRNH/a2c-PandaPickAndPlace-v3", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
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README.md
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This is a trained model of a **A2C** agent playing **PandaPickAndPlace-v3**
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using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
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## Usage (with Stable-baselines3)
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TODO: Add your code
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```python
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from stable_baselines3 import ...
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from huggingface_sb3 import load_from_hub
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...
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```
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You can find any information about panda-gym at https://huggingface.co/papers/2106.13687
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This is a trained model of a **A2C** agent playing **PandaPickAndPlace-v3**
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using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
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You can find any information about panda-gym at https://huggingface.co/papers/2106.13687
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