Tag Archives: multi arm bandit

Optimizing Discount Price for Perishable Products with Thompson Sampling using Spark

For retailers, stocking perishable products is a risky business. If a product doesn’t sell completely by the expiry date, then the remaining inventory has to be discarded and loss be taken for those items. Retailers will do whatever is necessary … Continue reading

Posted in AI, Big Data, Data Science, Reinforcement Learning, Scala, Spark | Tagged , | 2 Comments

Bandits Know the Best Product Price

In an earlier post, I did a survey of a class of reinforcement learning ¬†algorithms, known as Multi Arm Bandit(MAB)¬†. Essentially, these algorithms make decisions and learn from rewards received from the environment. You can also think of them as … Continue reading

Posted in Big Data, Data Science, Hadoop and Map Reduce, Marketing Analytic, Optimizatiom, Optimization, Reinforcement Learning | Tagged , , , | 4 Comments