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# Multi-Agent-Deep-Deterministic-Policy-Gradients
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A Pytorch implementation of the multi agent deep deterministic policy gradients(MADDPG) algorithm
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This is my implementation of the algorithm presented in the paper: Multi Agent Actor Critic for Mixed Cooperative-Competitive Environments.
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You can find this paper here:
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https://arxiv.org/pdf/1706.02275.pdf
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You will need to install the Multi Agent Particle Environment(MAPE), which you can find here:
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https://github.com/openai/multiagent-particle-envs
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Make sure to create a virtual environment with the dependencies for the MAPE, since they are somewhat out of date.
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I also recommend running this with PyTorch version 1.4.0, as the latest version (1.8) seems to have an issue with
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an in place operation I use in the calculation of the critic loss.
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The video for this tutorial is found here:

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