/gym-grid

A simple 2-D cursor-target catch game (with atari rendering) in the gym OpenAI environment

Primary LanguagePython

gym-maze

A simple 2-D grid game (with atari rendering) in the gym OpenAI environment

Important: Need to properly check before using this repository : Not maintaned

Installation instructions

Requirements: gym with atari dependency

git clone https://github.com/meagmohit/gym-grid
cd gym-grid
python setup.py install
import gym
import gym_grid
env = gym.make('grid-v0')
env.render()

Environment Details

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

Agent Details

  • 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