3d-connectX-env

3D connectX repository, developed for the OpenAI Gym format.

Installation

The preferred installation of 3d-connectX-env is from pip:

pip install 3d-connectX-env

Usage

Python

import gym_3d_connectX
import gym

env = gym.make('3d-connectX-v0')
env.reset()

env.utils.win_reward = 100
env.utils.draw_penalty = 50
env.utils.lose_penalty = 100
env.utils.could_locate_reward = 10
env.utils.couldnt_locate_penalty = 10
env.utils.time_penalty = 1
env.player = 1
actions = [0, 0, 1, 1, 2, 2, 4, 4, 0, 0, 1, 1, 2, 2, 0, 3]

for action in actions:
    obs, reward, done, info = env.step(action)
    env.render(mode="plot")

Environments

The environments only send reward-able game-play frames to agents; No cut-scenes, loading screens, etc. are sent to an agent nor can an agent perform actions during these instances.

Environment: 3d-connectX-v0

Factor at initialization.

Step

Info about the rewards and info returned by the step method.