Data Simulation Insights
The discussion highlights the innovative approach of using OpenStreetMap to create a realistic simulated environment for training machine learning models. By leveraging synthetic data and their own simulation engine, the team can learn from zero data, similar to DeepMind's Alphazero. Once trained, models can be deployed for inference without the need for heavy computational resources on the end user's side.In this clip
From this podcast
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Deep Reinforcement Learning for Logistics at Instadeep with Karim Beguir - #302
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