such as those used to classify images, can be manipulated by attacks on the training data. Li says he was curious if the more complex AI algorithms in reinforcement learning might be vulnerable to ...

A new machine learning approach tries to better emulate the human brain, in hopes of creating more capable agentic AI.

Reinforcement learning is the process by which a machine learning algorithm, robot, etc. can be programmed to respond to complex, real-time and real-world environments to optimally reach a desired ...

they may recognize patterns in images to detect faces (face detection), or recognize patterns in sales data to predict a change in demand (demand forecasting), and so on. Reinforcement learning ...

To address this challenge, the team used reinforcement learning, a technique involving a combination of computational rewards and punishments, to train an algorithm. This algorithm will be ...