Causal Inference, Reinforcement Learning, and Continuous Optimization

Causal Inference, Reinforcement Learning, and Continuous Optimization
This is Bill Grosso's talk at the 2016 Conference on Artificial Intelligence in Creative Industries (nucl.ai). The thesis of the talk is that "game analytics" needs to get past "A/B Testing" and "Predictive Aanlytics" and adopt techniques and ideas from the reinforcement learning community in order to make real and substantial progress.
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