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 replay.mp4 from CoreyMorris/tqc-PandaReachDense-v2: direct link, hf CLI and curl.
- Browser
- Download file 303 kB
-
https://huggingface.co/CoreyMorris/tqc-PandaReachDense-v2/resolve/main/replay.mp4
- Command line
-
hf download hf://CoreyMorris/tqc-PandaReachDense-v2/replay.mp4
-
curl -L -o replay.mp4 https://huggingface.co/CoreyMorris/tqc-PandaReachDense-v2/resolve/main/replay.mp4
303 kB
- Xet hash:
- b8b95a3fa978e9f001565b126af1f7fc49d142354f794d6b320b953d8629344c
- Size of remote file:
- 303 kB
- SHA256:
- 5fdbeacb07ee0f2f76024b1d363bac3a8669d29040ffe3f07c8d56a00218cc1a
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