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Vectorized Mix-motivate MARL Environments Based on Pytorch

Three vectorized mix-motivate MARL environments, including Coin Game, Gathering, and Harvest. Their implementations comply with the Gym API.

Main components

  • coin_game.py: Vectorized implementation of Coin Game, which is proposed by Lerer and Peysakhovich.
  • gathering.py: Vectorized implementation of Gathering, which is proposed by Leibo et al..
  • harvest.py: Vectorized implementation of Simple Harvest, which is proposed by Willis and Luck.
  • main.ipynb: Providing some simple examples on how to use these environments.

Setup

Just install the latest version of pytorch (tested on pytorch 2.1.2).

Acknowledgements

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Three vectorized grid-world enviroments for multi-agent reinforcement learning

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