Explore a pyramid-solving game with AI
Play with Huggy, a dog that learns to catch sticks
Control a vehicle with WASD keys in a physics simulation
Play an interactive Unity game
PlayPhysics - Control a vehicle using WASD
Control virtual vehicle physics in a web-based simulation
Play StarLink_Escape, an interactive game
Control a vehicle with WASD keys in a web-based physics simulation
Play with a RL-trained dog catching sticks
Play a Unity-based block pushing game
Simulate a Faker match
Load and play a Unity web game
Interact with a web-based physics vehicle simulation using WASD keys
ML Agents Worm is an AI-powered game environment designed for exploring and training AI models to solve pyramid puzzles. It provides an interactive platform where users can experiment with AI agents, letting them learn and adapt to solve complex pyramid structures.
• AI Training: Train AI models to solve pyramid puzzles using reinforcement learning.
• Interactive Environment: Engage with a dynamic game world where AI agents can learn through trial and error.
• Pyramid Puzzle Solving: Focus on solving intricate pyramid structures using AI-driven strategies.
• Customizable Settings: Adjust game parameters to tailor the learning experience for AI agents.
• Real-Time Feedback: Observe and analyze the AI's decision-making process in real time.
What is ML-Agents?
ML-Agents is a Unity toolkit for training AI agents using reinforcement learning and other machine learning techniques.
How does the AI solve the pyramid puzzle?
The AI agent learns to solve the pyramid puzzle by interacting with the environment and receiving feedback in the form of rewards or penalties.
Can the AI be used for other types of puzzles?
Yes, the AI models trained in ML Agents Worm can be adapted to solve other similar puzzles and environments.