Jorge Ramírez‐Ruiz

This study shows that agents with imperfect memory can outperform those with perfect memory in decision-making tasks and generate value-based behaviors without calculating value.

This study shows humans use compare-to-threshold computations in decision-making tasks, outperforming traditional reinforcement learning models.

The paper models decision-making under limited capacity, showing that optimal strategies shift from breadth to depth as capacity increases.