The article explains how Yelp developed a Back-Testing Engine to simulate ad budget allocation changes using historical data. This tool allows the company to test new algorithms and strategies safely without impacting live campaigns, helping optimize performance and maintain advertiser trust.

Self-play has proven to be a highly effective approach for training autonomous driving systems, achieving state-of-the-art performance without using human data. Utilizing the Gigaflow simulator, the study generated an impressive 1.6 billion kilometers of driving scenarios, resulting in a policy that demonstrates exceptional robustness and realism, averaging 17.5 years of continuous driving between incidents in simulation.