Jay van Zyl @ ecosystem.Ai

Jay van Zyl @ ecosystem.Ai

Competitive Self-Play

We’ve found that self-play allows simulated AIs to discover physical skills like tackling, ducking, faking, kicking, catching, and diving for the ball, without explicitly designing an environment with these skills in mind. Self-play ensures that the environment is always the right difficulty for an AI to improve. Taken alongside our

Competitive Self-Play

We’ve found that self-play allows simulated AIs to discover physical skills like tackling, ducking, faking, kicking, catching, and diving for the ball, without explicitly designing an environment with these skills in mind. Self-play ensures that the environment is always the right difficulty for an AI to improve. Taken alongside our

Introductory guide to Linear Optimization in Python (with TED videos case study)

Introduction Data Science & Machine Learning are being used by organizations to solve a variety of business problems today.  In order to create a …
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25 Questions to test a Data Scientist on Image Processing

Introduction Extracting useful information from unstructured data has always been a topic of huge interest in the research community. One such example of unstructured …
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