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.

How can real estate investors dodge the “winner’s curse,” that paradoxical tendency for successful bidders to pay more than the true worth of a property? It’s a critical question in real estate ...

Columbia University professors David A. Nadler and Michael L. Tushman developed the congruence model for businesses. This model offers a structured approach to analyzing the key drivers of ...