Instructions to use Subhash3008/a2c-PandaReachDense-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use Subhash3008/a2c-PandaReachDense-v3 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="Subhash3008/a2c-PandaReachDense-v3", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
File size: 696 Bytes
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tags:
- reinforcement-learning
- PandaReachDense-v3
- stable-baselines3
- deep-rl-course
model-index:
- name: a2c-PandaReachDense-v3
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: PandaReachDense-v3
type: PandaReachDense-v3
metrics:
- type: mean_reward
value: -0.3 +/- 0.05
name: mean_reward
---
# A2C PandaReachDense-v3
This is a trained model for the **Hugging Face Deep Reinforcement Learning Course**.
- **Environment**: `PandaReachDense-v3`
- **Library**: `stable-baselines3`
- **Evaluation Score**: `-0.3 +/- 0.05`
Trained and submitted by **Subhash3008**.
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