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This project enables the use of Multilingual E5 models within the Unity AI Inference Engine (formerly Sentis). Multilingual E5, proposed by Liang et al. in 2024, is a state-of-the-art multilingual ...

This repository implements four multi-agent reinforcement learning algorithms for Unity environments. The framework has been validated on two environments and can be extended to support additional ...