EXPLORATION 1

Group members: Natalia Mora, Daniel Yowell

Honors research (CS3980-023), Dr. Richard Veras, Spring 2023

Objective: Build a working tic-tac-toe program which can later be optimized with reinforcement learning techniques.

Instructions:

• main.py runs the entire program.
• state.py relies solely on prewritten .txt files. The rest rely on .txt files generated by other .py files.
• Before running main.py, calc-reward-output.txt should always be in this format (where X = # of player wins):

The player has won:
X
times

Status:

• Program runs successfully with current input files
• Missing detection for win/lose conditions
• Missing algorithm for reinforcement learning (will presumably be written in main.py)