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 ...
blog.faculty.london.edu

RLOC: Neurobiologically inspired hierarchical reinforcement learning algorithm for continuous control of nonlinear dynamical systems

Nonlinear optimal control problems are often solved with numerical methods that require knowledge of system's dynamics which may be difficult to infer, and that carry a large computational cost ...
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 ...
University of Wyoming

Chao Jiang

Dr. Chao Jiang’s research interests include autonomous robots, human-robot interaction, robotic learning, deep reinforcement learning, optimal control, and cooperative control of multi-robot systems.
Microsoft

With reinforcement learning, Microsoft brings a new class of AI solutions to customers

Someone looking to book a vacation online today might have very different preferences than they did before the COVID-19 pandemic. Instead of flying to an exotic beach, they might feel more comfortable ...