prasad-madhale/gym-tictactoe

OpenAI Gym Style Tic-Tac-Toe Environment

gym-tictactoe

OpenAI Gym Style Tic-Tac-Toe Environment.

  |O|X
 -----
  |O| 
 -----
 O|X|X

O's turn.
Enter location[1-9], q for quit:

Requirement

Python >= 3.5

Install

git clone https://github.com/haje01/gym-tictactoe.git
cd gym-tictactoe/
pip install -e .

Try example agents

cd examples/
python human_agent.py
python base_agent.py
python td_agent.py

Temporal Difference Agent Commands

Learn

Usage: td_agent.py learn [OPTIONS]

  Learn and save the model.

Options:
  -p, --episode INTEGER  Episode count.  [default: 17000]
  -e, --epsilon FLOAT    Exploring factor.  [default: 0.08]
  -a, --alpha FLOAT      Step size.  [default: 0.4]
  -f, --save-file TEXT   Save model data as file name.  [default:
						 td_agent.dat]
  --help                 Show this message and exit.

Bench

Usage: td_agent.py bench [OPTIONS]

  Benchmark agent with base agent.

Options:
  -p, --episode INTEGER  Episode count.  [default: 3000]
  -f, --model-file TEXT  Model data file name.  [default: td_agent.dat]
  --help                 Show this message and exit

Grid search

Usage: td_agent.py gridsearch [OPTIONS]

  Grid search hyper-parameters.

Options:
  -q, --quality [high|mid|low]  Grid search quality.  [default: mid]
  -r, --reproduce-test INTEGER  Reproducibility test count.  [default: 3]
  --help                        Show this message and exit.

Play

Usage: td_agent.py play [OPTIONS]

  Play with human.

Options:
  -f, --load-file TEXT  Load file name.  [default: td_agent.dat]
  -n, --show-number     Show location number when play.  [default: False]
  --help                Show this message and exit.