Run and customize ML agents in a simulation
Play a snowball throwing game
Load and play a Unity web game
Play the QingHuiYuan game in your browser
Create and play a customizable memory puzzle game
"One-minute creation by AI Coding Autonomous Agent MOUSE-I"
Play with a dog that learned to catch sticks
Interact with a web-based physics vehicle simulation using WASD keys
Simulate a Faker match
Type any content you'd like, and the AI will generate it!
"One-minute creation by AI Coding Autonomous Agent MOUSE"
Play an interactive Graviton game on your desktop!
Control and simulate vehicle physics in a web-based game
Interactive DeepRL Demo is a cutting-edge application in the Game AI category that allows users to run and customize machine learning agents within a simulated environment. It provides an interactive platform for testing and visualizing how ML agents operate, making it an excellent tool for both learning and development.
What are the system requirements to run Interactive DeepRL Demo?
Interactive DeepRL Demo requires a modern GPU with CUDA support, at least 16GB of RAM, and a 64-bit operating system (Windows 10/11 or Ubuntu 20.04+).
Can I create my own custom environments for the ML agents?
Yes, Interactive DeepRL Demo supports custom environment creation through its API or built-in editor, allowing users to design unique scenarios for agent training.
How does the real-time interaction feature work?
The real-time interaction feature enables users to influence the simulation dynamically. This can include adding obstacles, changing agent goals, or altering environmental conditions to test adaptability.