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Multi-Agent-Pong-Rally (MAPR)

A Gym environment.

MAPR is a Gym environment designed to emphasize collaboration between two actors.

Each actor has one action dimension, which represents an acceleration value for their respective paddle on the board.

Installation Instructions

Each of the files in this repository (except test.py, which can be placed anywhere) has a header line detailing where in your Gym installation folder they should be placed. envs__init__.py and scoreboard__init__.py both assume that you do not have any other custom gym environments installed! If you have other custom gym environments, follow gym custom environment installation instructions found here.

MAPR is not currently compatible with gym_pull, but I welcome pull requests that seek to resolve that issue.

Thanks to https://gist.github.com/vinothpandian/4337527 for the base code used for this gym environment.

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A multi-agent Gym-compatible environment based off of Atari's Pong.

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