Toolkit is mutually beneficial for both game developers and AI researchers as it Settings such as multi-agent and adversarial), automated testing of game buildsĪnd evaluating different game design decisions pre-release. Used for multiple purposes, including controlling NPC behavior (in a variety of Imitation learning, neuroevolution, or any other methods. Provided simple-to-use Python API to train Agents using reinforcement learning, Train intelligent agents for 2D, 3D and VR/AR games. Of state-of-the-art algorithms to enable game developers and hobbyists to easily We provide implementations (based on PyTorch) Project that enables games and simulations to serve as environments for The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source
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