Reinforcement Learning
stable-baselines3
PandaReachDense-v3
a2c
deep-rl
panda-gym
Eval Results (legacy)
Instructions to use LuckLin/a2c-PandaReachDense-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use LuckLin/a2c-PandaReachDense-v3 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="LuckLin/a2c-PandaReachDense-v3", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Upload README.md with huggingface_hub
Browse files
README.md
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This is a trained model of an **A2C** agent playing **PandaReachDense-v3** using the [stable-baselines3](https://github.com/DLR-RM/stable-baselines3) library and the [panda-gym](https://github.com/qgallouedec/panda-gym) environment.
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## Video Replay
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## Usage (with huggingface_sb3)
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This is a trained model of an **A2C** agent playing **PandaReachDense-v3** using the [stable-baselines3](https://github.com/DLR-RM/stable-baselines3) library and the [panda-gym](https://github.com/qgallouedec/panda-gym) environment.
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## Usage (with huggingface_sb3)
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