Peter Vamplew
About
Peter Vamplew has authored 59 papers that have received a total of 1.6k indexed citations.
This includes 41 papers in Artificial Intelligence, 12 papers in Computational Theory and Mathematics and 8 papers in Control and Systems Engineering. The topics of these papers are Reinforcement Learning in Robotics (21 papers), Advanced Multi-Objective Optimization Algorithms (9 papers) and Evolutionary Algorithms and Applications (8 papers). Peter Vamplew is often cited by papers focused on Reinforcement Learning in Robotics (21 papers), Advanced Multi-Objective Optimization Algorithms (9 papers) and Evolutionary Algorithms and Applications (8 papers) and collaborates with scholars based in Australia, United States and The Netherlands. Peter Vamplew's co-authors include Richard Dazeley, Cameron Foale, Francisco Cruz, John Yearwood and Iqbal Gondal and has published in prestigious journals such as Computers in Human Behavior, Artificial Intelligence and Neurocomputing.
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