On Realization of Intelligent Decision-Making in the Real World: A Foundation Decision Model Perspective

Understand

The pervasive uncertainty and dynamic nature of real-world environments present significant challenges for the widespread implementation of machine-driven Intelligent Decision-Making (IDM) systems.

• Consequently, IDM should possess the ability to continuously acquire new skills and effectively generalize across a broad range of applications.
• The advancement of Artificial General Intelligence (AGI) that transcends task and application boundaries is critical for enhancing IDM.
• Recent studies have extensively investigated the Transformer neural architecture as a foundational model for various tasks, including computer vision, natural language processing, and reinforcement learning.