Run and customize ML agents in a simulation
Play the QingHuiYuan game in your browser
"One-minute creation by AI Coding Autonomous Agent MOUSE"
Play the Dodge game
Drive a vehicle using keyboard input
https://huggingface.co/spaces/VIDraft/mouse-webgen
Load and interact with a WebGL-based game or application
Control a vehicle with WASD keys in a physics simulation
Create and play a customizable memory puzzle game
Play with a dog that learned to catch sticks
Play StarLink_Escape, an interactive game
Start Godot Engine for game development directly in your browser
Embed and play classic games online
Interactive DeepRL Demo is a cutting-edge tool designed for the Game AI category, enabling users to run and customize ML agents in a simulation environment. This platform provides an interactive way to explore and train machine learning models within a controlled setting, allowing for real-time experimentation and visualization of AI decision-making processes.
• Real-Time Simulation: Experience live interactions with ML agents in dynamic environments.
• Agent Customization: Adjust parameters and algorithms to tailor agent behavior.
• Performance Analysis: Gain insights into agent performance through detailed metrics and visualizations.
• Multiple Environments: Access diverse scenarios to test agent adaptability.
• Seamless Integration: Compatible with popular AI frameworks and models.
What are the system requirements to run Interactive DeepRL Demo?
Interactive DeepRL Demo requires a modern GPU, at least 8GB of RAM, and a 64-bit operating system. Ensure Python 3.8+ is installed.
Can I customize the AI models used in the simulation?
Yes, the platform supports integration with popular machine learning frameworks, allowing you to import and customize your own AI models.
Is there a way to save and share my simulation results?
Absolutely! The demo includes features to save simulation data and export results for further analysis or sharing with collaborators.