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 ...

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

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 ...

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.

Research areas: Statistics, Machine learning, Bayesian nonparametric models, Fairness in machine learning and statistics, Reinforcement learning, Causal Inference, Conformal Inference. Bayesian ...