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cascade-lattice-demo
tostido/cascade-lattice-demo
cascade-lattice-demo is a reinforcement learning model from tostido. Use it for the reinforcement learning task on the model card, and read the license before you ship it in a product. It is set up for stable-baselines3. The card lists the license as mit.
A standalone Windows executable demonstrating cascade-lattice provenance tracking with a trained RL agent playing LunarLander.
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.zip306 MB · 99%
At a glance
- Task
- Reinforcement Learning
- Library
- stable-baselines3
- License
- mit
- Access
- Public
- Created
- Jan 9, 2026
- Updated
- Jan 9, 2026
- SHA
- 7f589567
Model card
From the Hugging Face model README
Cascade Lattice Demo - Sovereign LunarLander
A standalone Windows executable demonstrating cascade-lattice provenance tracking with a trained RL agent playing LunarLander.
🚀 Quick Start
- Download
cascade-demo-windows-x64.zip - Extract anywhere
- Run
CascadeDemo.exe
No Python or dependencies required!
🎮 What It Does
Watch a PPO-trained agent land a lunar module while cascade-lattice tracks:
- Model provenance - cryptographic identity of the trained model
- Inference observations - every decision the agent makes
- Reward attribution - linking outcomes to model behavior
🔧 Controls
- SPACE - Toggle pause
- R - Reset episode
- ESC - Quit
📦 What's Inside
- Pre-trained PPO agent (downloaded from HuggingFace on first run)
- Pygame visualization
- Cascade provenance logging (optional)
🔗 Links
- Source Code: tostido/Cascade on HuggingFace Spaces
- PyPI Package:
pip install cascade-lattice - Build Scripts: See
build/folder in the source repo
📋 System Requirements
- Windows 10/11 (x64)
- ~300MB disk space
- No GPU required
🏗️ Build It Yourself
cd Cascade_Repo/build
pip install -r requirements-build.txt
python build_exe.py
Built with cascade-lattice - Provenance tracking for AI systems
- Task
- Reinforcement Learning
- Library
- stable-baselines3
- License
- mit
- Created
- Jan 9, 2026
- Updated
- Jan 9, 2026