Reinforcement Learning
stable-baselines3
PandaReachDense-v3
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use AllIllusion/a2c-PandaReachDense-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use AllIllusion/a2c-PandaReachDense-v3 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="AllIllusion/a2c-PandaReachDense-v3", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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- deep-reinforcement-learning
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- reinforcement-learning
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- stable-baselines3
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model-index:
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- name: A2C
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results:
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type: PandaReachDense-v3
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metrics:
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- type: mean_reward
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value: -0.19 +/- 0.12
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name: mean_reward
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verified: false
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---
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from huggingface_sb3 import load_from_hub
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...
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```
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- deep-reinforcement-learning
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- reinforcement-learning
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- stable-baselines3
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- SL-Sprout
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model-index:
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- name: A2C
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results:
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type: PandaReachDense-v3
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metrics:
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- type: mean_reward
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value: '-0.19 +/- 0.12'
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name: mean_reward
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verified: false
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---
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from huggingface_sb3 import load_from_hub
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...
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```
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