Reinforcement Learning
stable-baselines3
PandaStack-v1
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use sb3/tqc-PandaStack-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use sb3/tqc-PandaStack-v1 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="sb3/tqc-PandaStack-v1", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download replay.mp4 from sb3/tqc-PandaStack-v1: direct link, hf CLI and curl.
- Browser
- Download file 502 kB
-
https://huggingface.co/sb3/tqc-PandaStack-v1/resolve/374f867180805320e41aaf68d6c6a9b35a00688c/replay.mp4
- Command line
-
hf download hf://sb3/tqc-PandaStack-v1@374f867180805320e41aaf68d6c6a9b35a00688c/replay.mp4
-
curl -L -o replay.mp4 https://huggingface.co/sb3/tqc-PandaStack-v1/resolve/374f867180805320e41aaf68d6c6a9b35a00688c/replay.mp4
502 kB
- Xet hash:
- 9d1514347f4e1b8d174f2d25db63c04c02eb11d30a609683e7195d371c1de9c8
- Size of remote file:
- 502 kB
- SHA256:
- a9b7bc198f6c4646f231a938aa7d2148cf9d19fc5df7e8fdc354b72a65101836
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