Reinforcement Learning
stable-baselines3
PandaPush-v1
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use sb3/tqc-PandaPush-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use sb3/tqc-PandaPush-v1 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="sb3/tqc-PandaPush-v1", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Add link to Panda Gym paper
#1
by qgallouedec HF Staff - opened
README.md
CHANGED
|
@@ -65,3 +65,5 @@ OrderedDict([('batch_size', 2048),
|
|
| 65 |
('tau', 0.05),
|
| 66 |
('normalize', False)])
|
| 67 |
```
|
|
|
|
|
|
|
|
|
| 65 |
('tau', 0.05),
|
| 66 |
('normalize', False)])
|
| 67 |
```
|
| 68 |
+
|
| 69 |
+
Panda Gym environments: [arxiv.org/abs/2106.13687](https://arxiv.org/abs/2106.13687)
|