People's decisions are known to be influenced by past experiences, including the outcomes of earlier choices. For over a century, psychologists have been trying to shed light on the processes ...

Recently, model-based reinforcement learning has been considered a crucial approach to applying reinforcement learning in the physical world, primarily due to its efficient utilization of samples.

The return to project-based learning, paired with today's AI tools, has created a new learning paradigm. Here, Mark Frydenberg, distinguished lecturer of Computer Information Systems and director of ...