Reinforcement Learning
stable-baselines3
BipedalWalker-v3
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use ByteMeHarder-404/bipedalwalker-ppo1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use ByteMeHarder-404/bipedalwalker-ppo1 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="ByteMeHarder-404/bipedalwalker-ppo1", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download PPO.zip from ByteMeHarder-404/bipedalwalker-ppo1: direct link, hf CLI and curl.
- Browser
- Download file 177 kB
-
https://huggingface.co/ByteMeHarder-404/bipedalwalker-ppo1/resolve/main/PPO.zip
- Command line
-
hf download hf://ByteMeHarder-404/bipedalwalker-ppo1/PPO.zip
-
curl -L -o PPO.zip https://huggingface.co/ByteMeHarder-404/bipedalwalker-ppo1/resolve/main/PPO.zip
177 kB
- Xet hash:
- 161a46d7fe3462ef9891b8e2249eb5c11b8b5cfc977a845424b8e63d4dfebc7d
- Size of remote file:
- 177 kB
- SHA256:
- bdfb675a0028531afe02d3a68f07e4a954d3091d8c7d9cfacab5c2127b192aa2
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