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.
In The Last Decade
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