6 citations · 12 across the 14 of their papers we have counts for
4 papers · 1 filter
Simple Noisy Environment Augmentation for Reinforcement Learning
Raad Khraishi, Ramin Okhrati
Data augmentation is a widely used technique for improving model performance in machine learning, particularly in computer vision and natural language processing. Recently, there h…
Modelling customer lifetime-value in the retail banking industry
Greig Cowan, Salvatore Mercuri, Raad Khraishi
Understanding customer lifetime value is key to nurturing long-term customer relationships, however, estimating it is far from straightforward. In the retail banking industry, comm…
An Introduction to Machine Unlearning
Salvatore Mercuri, Raad Khraishi, Ramin Okhrati +4
Removing the influence of a specified subset of training data from a machine learning model may be required to address issues such as privacy, fairness, and data quality. Retrainin…
Offline Deep Reinforcement Learning for Dynamic Pricing of Consumer Credit
Raad Khraishi, Ramin Okhrati
We introduce a method for pricing consumer credit using recent advances in offline deep reinforcement learning. This approach relies on a static dataset and requires no assumptions…