Reinforcement Learning
stable-baselines3
RoombaAToB-Hardcoded
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use culteejen/PPO-hardcoded-RoombaAToB-Hardcoded with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use culteejen/PPO-hardcoded-RoombaAToB-Hardcoded with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="culteejen/PPO-hardcoded-RoombaAToB-Hardcoded", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download PPO-hardcoded.zip from culteejen/PPO-hardcoded-RoombaAToB-Hardcoded: direct link, hf CLI and curl.
- Browser
- Download file 142 kB
-
https://huggingface.co/culteejen/PPO-hardcoded-RoombaAToB-Hardcoded/resolve/main/PPO-hardcoded.zip
- Command line
-
hf download hf://culteejen/PPO-hardcoded-RoombaAToB-Hardcoded/PPO-hardcoded.zip
-
curl -L -o PPO-hardcoded.zip https://huggingface.co/culteejen/PPO-hardcoded-RoombaAToB-Hardcoded/resolve/main/PPO-hardcoded.zip
142 kB
- Xet hash:
- 1f47ed4332883054a66533308e7713f664f9b3e85010bb259c6443aa16ca7199
- Size of remote file:
- 142 kB
- SHA256:
- b432724e3b94e3e47f529d9dc3bf28150c103f89f038ba42ff391a669c5cde7e
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