How Eidos-Montréal created Grid Sensors to improve observations for training agents

 Within Eidos Labs, several projects use machine learning. The Automated Game Testing project tackles the problem of testing the functionality of expansive AAA games by modeling player behavior with agents that have learned behavior using reinforcement learning (RL).  In this blog post, we’ll describe how the team at Eidos Labs created the Grid Sensor within the Unity Machine Learning Agents Toolkit (ML-Agents) to better represent the game for machine learning, improving training times and ultimately leading to less expensive models. Read More technology | Unity Technologies Blog 

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