I have a background in computer science (Georgia Tech) and cognitive neuroscience (Leiden University), graduating on my thesis Computational modeling of individual differences using stochastic information accumulation models, supervised by Jay McClelland at Stanford University. I received my Ph.D. from Leiden University under the supervision of Bernhard Hommel, for my dissertation Control of complex actions in humans and robots.
As an assistant professor at Leiden University, I lecture on topics ranging from general psychology to topics in my area of expertise such as artificial intelligence, computational modeling, and artificial neural networks. My Ph.D. research, supervised by Bernhard Hommel and George Kachergis, focused on developing computational models of cognition for use in robotic systems as part of the EU-funded research project RoboHow.Cog: Web-enabled and experience-based cognitive robots that learn complex everyday manipulation tasks.
My current research is focused 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 robotics.
I am involved in teaching or coordinating the following courses:
- Artificial Intelligence and Neurocognition
- Introduction to Psychology [Inleiding in de Psychologie]
- PSYC1000: General Psychology (Chinese University of Hong Kong)
- Reinforcement Learning and Decision Making: Neural and Computational Mechanisms
- Cognitive Psychology [Cognitieve Psychologie]
Roy de Kleijn
2333 AK Leiden
Telephone: +31 (0)71-5273915
E-mail: kleijnrde[at]fsw.leidenuniv.nl or rdekleijn[at]gatech.edu