# Reinforcement Learning

What has set Amazon apart from the competition in online retail? Their supply chain. In fact, this has long been one of the greatest strengths of one of their chief competitors, Walmart.

Supply chains are highly complex systems consisting of hundreds if not thousands of manufacturers and logistics carriers around the world who combine resources to create the products we use … [Read more about How to Improve Your Supply Chain With Deep Reinforcement Learning](/content/supply-chain-with-deep-reinforcement-learning/index.html)

Artificial intelligence, machine learning, big data, and other buzzwords are disrupting decision making in almost any area of finance. On the back office, machine learning is widely applied to spot anomalies in execution logs, for risk management and fraudulent transaction detection. At the front office, AI is used for customer segmentation and support and pricing the … [Read more about AI For Portfolio Management: From Markowitz To Reinforcement Learning](/content/ai-for-portfolio-management/index.html)

Amazing products without engaged clients are bound to fail, and companies claiming to have found the single best solution to client engagement are only fooling themselves.

What seems to work today to keep your clients engaged won't necessarily work tomorrow. The "optimal" client engagement tactic for your product will change over time and companies must be fluid and … [Read more about How Stitch Fix Optimizes Client Engagement With Contextual Bandits](/content/stitchfix-client-engagement-contextual-bandits/index.html)

For those of you who are completely new to Reinforcement Learning, we've searched through beginner-friendly content across the internet and chose to feature this introductory video which we think presents one of the best technical but still understandable introductions to the field.

In this very accessible video, Xander Steenbrugge talks about:

the explosion of the … [Read more about A Beginner-Friendly Introduction to Reinforcement Learning](/content/beginner-friendly-intro-reinforcement-learning/index.html)

Imagine you’re completing a mission in a computer game. Maybe you’re going through a military depot to find a secret weapon. You get points for the right actions (killing an enemy) and lose them for the wrong ones (falling into a pit or getting hit). If you’re playing on high difficulty, you might not conclude this task in just one attempt. Try after try, you learn which … [Read more about Reinforcement Learning Explained: Overview, Comparisons and Applications in Business](/content/reinforcement-learning-explained-business-applications/index.html)