Tom Schaul

45 papers and 2.8k indexed citations i.

Tom Schaul has authored 45 papers that have received a total of 2.8k indexed citations. This includes 43 papers in Artificial Intelligence, 8 papers in Signal Processing and 6 papers in Computational Theory and Mathematics. The topics of these papers are Reinforcement Learning in Robotics (23 papers), Evolutionary Algorithms and Applications (22 papers) and Metaheuristic Optimization Algorithms Research (12 papers). Tom Schaul is often cited by papers focused on Reinforcement Learning in Robotics (23 papers), Evolutionary Algorithms and Applications (22 papers) and Metaheuristic Optimization Algorithms Research (12 papers) and collaborates with scholars based in United States, United Kingdom and Switzerland. Tom Schaul's co-authors include David Silver, Jürgen Schmidhuber, Yi Sun, Daan Wierstra and Gabriel Dulac-Arnold and has published in prestigious journals such as Journal of Machine Learning Research, Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment and IEEE Transactions on Computational Intelligence and AI in Games