Reinforcement Learning
stable-baselines3
PandaReachDense-v3
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use lesliebinbin/a2c-PandaReachDense-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use lesliebinbin/a2c-PandaReachDense-v3 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="lesliebinbin/a2c-PandaReachDense-v3", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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value: -0.17 +/- 0.10
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name: mean_reward
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verified: false
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---
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# **A2C** Agent playing **PandaReachDense-v3**
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value: -0.17 +/- 0.10
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name: mean_reward
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verified: false
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video: replay.mp4
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# **A2C** Agent playing **PandaReachDense-v3**
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