Scholar
Roy de Kleijn
Google Scholar ID: gYce1HgAAAAJ
Assistant Professor, Leiden University
Citations & Impact
Citations
758
H-index
13
i10-index
17
Publications
20
Co-authors
0
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- Associate editor for Behavior Research Methods. Collaborator on ERC Starting Grant SAFE & SOUND: Towards Evidence-based Policies for Safe and Sound Robots at Leiden Law School.
Research Experience
- Currently working as an assistant professor at Leiden University and the Chinese University of Hong Kong. Involved in the EU-funded research project RoboHow.Cog: Web-enabled and experience-based cognitive robots that learn complex everyday manipulation tasks. Current research focuses on how artificial robotic agents can solve complex problems using biologically inspired techniques, specifically sequential and goal-driven action learning through (deep) reinforcement learning and evolutionary algorithms.
Education
- Holds an M.Sc. in Computer Science (with a specialization in Machine Learning) from Georgia Tech and an M.Sc. in Cognitive Neuroscience from Leiden University. Graduated with a thesis on 'Computational modeling of individual differences using stochastic information accumulation models,' supervised by Jay McClelland at Stanford University. Received his Ph.D. from Leiden University under the supervision of Bernhard Hommel, for his dissertation 'Control of complex actions in humans and robots.'
Background
- Research interests include machine learning, cognitive neuroscience, and computational modeling. Specializes in artificial intelligence, computational modeling, and artificial neural networks.
Miscellany
- Teaches or coordinates courses such as Artificial Intelligence, Fundamentals and Ethics of AI, Introduction to Psychology, Introduction to Cognitive Science, Reinforcement Learning and Decision Making: Neural and Computational Mechanisms, Cognitive Psychology, and Cognitive Robotics.
Co-authors