Nicolas Heess
About
Nicolas Heess has authored 56 papers that have received a total of 5.2k indexed citations.
This includes 38 papers in Artificial Intelligence, 15 papers in Computer Vision and Pattern Recognition and 10 papers in Control and Systems Engineering. The topics of these papers are Reinforcement Learning in Robotics (31 papers), Adversarial Robustness in Machine Learning (9 papers) and Robot Manipulation and Learning (8 papers). Nicolas Heess is often cited by papers focused on Reinforcement Learning in Robotics (31 papers), Adversarial Robustness in Machine Learning (9 papers) and Robot Manipulation and Learning (8 papers) and collaborates with scholars based in United Kingdom, United States and Canada. Nicolas Heess's co-authors include Josh Merel, Jost Tobias Springenberg, Martin Riedmiller, Raia Hadsell and David Silver and has published in prestigious journals such as Journal of Neuroscience, Scientific Reports and ACM Transactions on Graphics
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