CS 4444: Artificial Intelligence [Final Project]

PROJECT: ATAT-WALKER (ALL TERRAIN ARMORED TRANSPORT)

authors: Aaron Dupont, Blake Allen, Harry Ly, Christopher Schayer, Matthew Guidry, Wilson Zhu
purpose: the following project is to teach our AI how to operate a bipedal-walker

instructions to set up:

• setup a conda env with python3.4 and activate
  • create conda environment -> conda create -n py34 python=3.4
• install pybox2d thru conda -> conda install -c https://conda.anaconda.org/kne pybox2d
• install openai's gym thru pip -> pip install --user gym
• install neat thru pip -> pip install --user neat-python
• install graphviz thru pip -> pip install --user graphviz
  • also install the graphviz application using the standard application manager
• install matplotlib thru pip -> pip install --user matplotlib

how to run:

• how to run -> python main.py
• optional arguments:
  • run in parallel: -t [# of threads] note: this largely depends on how many cores your cpu has
  • run from checkpoint: -f [path of the checkpoint file] note: you need this if you want to use the replay functionality
  • render: -m replay

todo:

• abstract: due Oct. 9th
• setup neural network
• rename this repo to something else
• format Chris's ugly code
• tweak neural network to pass condition
• write a logger for the program
• add a visual representation of the neural network
• ~~start experimental phase (compare to other neural networks) ~~
• write up report
• make powerpoint slides for presentation (reserved for Aaron, Blake, and Harry)