gym-maze

A simple maze game (with atari rendering) in the gym OpenAI environment

Installation instructions

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Requirements: gym with atari dependency

git clone https://github.com/meagmohit/gym-catch
cd gym-maze
sudo pip install -e . #python setup.py install

import gym
import gym_maze
env = gym.make('maze-v0')
env.render()

Environment Details

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• maze-v0 : Default settings (grid_size=(10,10))
• MazeNoFrameskip-v3 : Default settings (grid_size=(10,10)) and tcp_tagging=True

Agent Details

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• agents/random_agent.py random agent plays game with given error probability to take actions (Perr).
• agents/play.py for humans to play the game. Keys w,s,a,d for UP, Down, Left and Right respectively.
• agents/agent_recordEEG_openLoop.py plays the game slow with TCP connection port to allow data stimulations

References

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