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[Unity3D.com Blog] Training intelligent adversaries using self-play with ML-Agents

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In the latest release of the ML-Agents Toolkit (v0.14), we have added a self-play feature that provides the capability to train competitive agents in adversarial games (as in zero-sum games, where one agent’s gain is exactly the other agent’s loss). In this blog post, we provide an overview of self-play and demonstrate how it enables […]

The post Training intelligent adversaries using self-play with ML-Agents appeared first on Unity Technologies Blog.

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