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Escape AI

AI learns escape a room.

This is a rust based implementation of a genetic algorithm and reinforcement learning simulation that trains an AI named Zoe to escape from five rooms of increasing difficulty. The simulation is built using the macroquad library.

Demo

youtube

Usage

  • Clone the repo
    git clone [email protected]:bones-ai/rust-escape-ai.git
    cd rust-escape-ai
    
  • Run the simulation
    cargo run --release
    
  • To update the simulation configurations use the configs file located at src/configs.rs

Create custom rooms

  • Tiled map editor is used for building the 2d levels
  • To create custom levels and play around with the AI, use tile layers with names player, keys, door, walls, spikes, enemies and background. I suggest taking a look at how other maps are built to understand how things are to be setup.

Configurations

  • The project config file is located at src/configs.rs
  • The game rooms have to be manually configured in the config file.

Inputs

  • Spacebar - Pause/Unpause the simulation
  • Tab - Show/hide the egui control menu
  • r - Restart the simulation
  • Backspace - Slow mode
  • Backslash - Enable AI, start the AI training process (Use this to play the game yourself, using keyboard inputs wasd)
  • Right Shift - Run at 5x speed
  • Mouse wheel - Zoom in/out
  • Mouse wheel with ctrl - Large zoom in/out
  • Right mouse click drag - Pan through the world
  • To draw all training AI agents, use the egui menu, then select Show Multi. Caution, if you have too many game rooms being simulation, this could freeze your machine.

Assets

If Zoe isn't able to solve a room

  • Try restarting (using shortcut r). It's impossible to get the same results as in the youtube video as every simulation run is random. Sometimes Zoe might get stuck (or spend a lot of time/steps) in a region, letting the simulation run for a longer is an option (but it'll take a long time).
  • Update NUM_FRAMES to a larger value. Once the room is solved, Zoe will try to solve the room more efficiently (i.e taking less steps)
  • Run the simulation at 5x (by using shortcut Right Shift). Some rooms can take a lot of generations to solve.
  • Disable the drawings in the egui menu to speed up the training process