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, ...

Reinforcement learning (RL) represents a paradigm shift in process control, offering adaptive and data‐driven strategies for the management and optimisation of complex industrial processes. By ...

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

Prior deep learning experience (e.g. ELEC_ENG/COMP_ENG 395/495 Deep Learning Foundations from Scratch ) and strong familiarity with the Python programming language. Python will be used for all coding ...

Fluid–structure interaction (FSI) governs how flowing water and air interact with marine structures—from wind turbines to ...

Today's AI agents are a primitive approximation of what agents are meant to be. True agentic AI requires serious advances in reinforcement learning and complex memory.

Humans possess a remarkable balance between stability and flexibility, enabling them to quickly establish new plans and ...

This website is the product of a NIPS 2007 workshop whose aim was to discuss current ideas from computer science, psychology and neuroscience regarding learning and control of hierarchically ...