Reinforcement Learning
stable-baselines3
PandaReachDense-v2
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use CoreyMorris/tqc-PandaReachDense-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use CoreyMorris/tqc-PandaReachDense-v2 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="CoreyMorris/tqc-PandaReachDense-v2", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download train_eval_metrics.zip from CoreyMorris/tqc-PandaReachDense-v2: direct link, hf CLI and curl.
- Browser
- Download file 62.2 kB
-
https://huggingface.co/CoreyMorris/tqc-PandaReachDense-v2/resolve/main/train_eval_metrics.zip
- Command line
-
hf download hf://CoreyMorris/tqc-PandaReachDense-v2/train_eval_metrics.zip
-
curl -L -o train_eval_metrics.zip https://huggingface.co/CoreyMorris/tqc-PandaReachDense-v2/resolve/main/train_eval_metrics.zip
62.2 kB
- Xet hash:
- 738b9edca4a19c1cda26bf881addf3aa4b94fb05b14c4673489f9418c28776d7
- Size of remote file:
- 62.2 kB
- SHA256:
- 9fc3e8d3487d239e7b48aae3be4bea0c6068d1b53e651df3e97824e2fdd997d7
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