Our eLibrary offers over 25,000 IMF publications in multiple formats. The application of Deep Reinforcement Learning (DRL) in economics has been an area of active research in recent years. A number of ...

Spatial urban planning is a highly complex task that mostly depends on the intuition and experiences of human experts. In this issue, Yu Zheng et al. propose an integrated human–ML (machine learning) ...

Deep Reinforcement Learning (DRL) is a subfield of machine learning that combines neural networks with reinforcement learning techniques to make decisions in complex environments. It has been applied ...

Agentic AI systems are revolutionizing how organizations approach complex workflows, introducing autonomous agents capable of multi-step reasoning, decision-making, and task execution that operate ...