Electronics360

Wind turbine control systems: From PID to reinforcement learning

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

Reinforcement Learning in Process Control

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 ...
mccormick.northwestern.edu

ELEC_ENG 373, 473: Deep Reinforcement Learning from Scratch

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 ...
University of Bristol

Unit information: Reinforcement Learning in 2032/33

Why is this unit important? Reinforcement learning combines machine learning and optimal control to allow intelligent agents to learn how to make real-time decisions in a dynamic environment. Learning ...
EurekAlert!

Optimal multi-impulse linear rendezvous via reinforcement learning

First, authors provide the mathematical model describing a multi-impulse linear rendezvous problem and the RL algorithms used, and present the RL-based approach to rendezvous design. For the ...