Andrew G. Barto
About
Andrew G. Barto has authored 115 papers that have received a total of 14.4k indexed citations.
This includes 73 papers in Artificial Intelligence, 30 papers in Cognitive Neuroscience and 20 papers in Control and Systems Engineering. The topics of these papers are Reinforcement Learning in Robotics (60 papers), Evolutionary Algorithms and Applications (25 papers) and Neural dynamics and brain function (18 papers). Andrew G. Barto is often cited by papers focused on Reinforcement Learning in Robotics (60 papers), Evolutionary Algorithms and Applications (25 papers) and Neural dynamics and brain function (18 papers) and collaborates with scholars based in United States, United Kingdom and Slovakia. Andrew G. Barto's co-authors include Richard S. Sutton, George Konidaris, James C. Houk, Scott Niekum and Roderic A. Grupen and has published in prestigious journals such as Science, Neuron and Psychological Review
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