MACHINE LERNING WITH ML-AGENTS

I utilized the Unity Machine Learning Agents Toolkit (ML-Agents) to implement three distinct behaviors through reinforcement learning and imitation learning.

This project was undertaken to gain a foundational understanding of the toolkit and its capabilities. One showcased behavior is a Pong AI trained using imitation learning, alongside other simple behaviors developed with reinforcement learning.

The project was fully developed using Unity and C#, leveraging PyTorch and TensorFlow for machine learning tasks. My responsibilities included designing the environments, programming agent behaviors, and conducting the training process for the agents.

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Source code: https://github.com/Alonefcp/IAV21-Cuadra-Plaza