Philip S. Thomas
About
Philip S. Thomas has authored 47 papers that have received a total of 684 indexed citations.
This includes 28 papers in Artificial Intelligence, 12 papers in Management Science and Operations Research and 4 papers in Electrical and Electronic Engineering. The topics of these papers are Reinforcement Learning in Robotics (22 papers), Advanced Bandit Algorithms Research (10 papers) and Evolutionary Algorithms and Applications (7 papers). Philip S. Thomas is often cited by papers focused on Reinforcement Learning in Robotics (22 papers), Advanced Bandit Algorithms Research (10 papers) and Evolutionary Algorithms and Applications (7 papers) and collaborates with scholars based in United States, Brazil and India. Philip S. Thomas's co-authors include Georgios Theocharous, Emma Brunskill, Michael S. Branicky, Kathleen M. Jagodnik and Antonie J. van den Bogert and has published in prestigious journals such as Science, Long Range Planning and IEEE Transactions on Neural Systems and Rehabilitation Engineering
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