Traffic congestion, fuel consumption, and emissions also offer quantifiable performance indicators, making mobility uniquely ...

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

In an RL-based control system, the turbine (or wind farm) controller is realized as an agent that observes the state of the ...

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 ...

This study seeks to construct a basic reinforcement learning-based AI-macroeconomic simulator. We use a deep RL (DRL) approach (DDPG) in an RBC macroeconomic model. We set up two learning scenarios, ...

Human inventions, namely engineered systems, have relied on fundamental discoveries in physics and mathematics, e.g., Maxwell’s equations, Quantum mechanics, Information theory, etc., thereby applying ...

An AI strategy proven adept at board games like Chess and Go, reinforcement learning, has now been adapted for a powerful protein design program. The results show that reinforcement learning can do ...