MazeEnv

This repository contains the maze scenario where an agent must learn to navigate within randomly generated maze environments to obtain target objects and avoid non-target objects scattered within the map.

Installation and Running Random Agent

1. To run the random agent, MazeExplorer must be installed. Please follow this link for installation.
2. Other requirements can be installed as below:

pip3 install numpy torch
pip3 install setproctitle

3. gen_mazes.py generates maze config files and WAD files in mazes_dir/ directory.

python gen_mazes.py

4. main.py runs the random agent with multiprocessing. Prior to running main.py, the log_file of class Params in params.py must be changed to a nonexisting file name. The raw data will be saved to the CSV file of the specified log_file path.

python main.py

References

Significant portion of environment code and scripts under mazeenv directory are modified versions of microsoft/MazeExplorer repository (link). The copyright notice is included in NOTICE.

main.py and eval.py are modified versions of the corresponding scripts in the kibeomKim/House3D_baseline repository (link).