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bench-npin
n5zhong/bench-npin
bench-npin is a reinforcement learning model from n5zhong. Use it for the reinforcement learning task on the model card, and read the license before you ship it in a product. The card lists the license as gpl-3.0.
This hub contains the pretrained models for Bench-NPIN: Benchmarking Non-prehensile Interactive Navigation.
Access
Public
Updated May 23, 2025
Repo size
2 GB
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At a glance
- Task
- Reinforcement Learning
- License
- gpl-3.0
- Access
- Public
- Created
- May 23, 2025
- Updated
- May 23, 2025
- SHA
- cff27908
Model card
From the Hugging Face model README
Model Card Bench-NPIN
<!-- Provide a quick summary of what the model is/does. -->This hub contains the pretrained models for Bench-NPIN: Benchmarking Non-prehensile Interactive Navigation.
Checkout our project website for more details.
Model Description
<!-- Provide a longer summary of what this model is. -->Each of the four folders contains the pretrained baselines for the corresponding non-prehensile interactive navigation task.
Uses
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->Installing BenchNPIN
- Clone the project
git clone https://github.com/IvanIZ/BenchNPIN.git
- Clone the submodules (spfa and GLNS)
cd BenchNPIN
git submodule update --init --recursive
- Install dependencies.
pip install -r requirements.txt
- Install Gym environment
pip install -e .
- Install shortest path module
cd deps/spfa
pip install -e .
Run Pretrained Models
-
Download a pretrained model and place it at the root of the BenchNPIN repository (e.g. ship-ice task)
-
Edit the model path in the
scripts/ship_ice_baseline.pyfile -
Run baseline evaluation
python scripts/ship_ice_baselines.py
- Task
- Reinforcement Learning
- License
- gpl-3.0
- Created
- May 23, 2025
- Updated
- May 23, 2025