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

Machine learning technique teaches power-generating kites to extract energy from turbulent airflows more effectively, ...

Researchers introduce the EAVM protocol, achieving 17 % lower energy use and 20 % longer network lifetime in IoT systems with ...

Overview:  Reinforcement learning in 2025 is more practical than ever, with Python libraries evolving to support real-world simulations, robotics, and deci ...

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 ...

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 ...