ZiF Research Group
Cognitive Behavior of Humans, Animals, and Machines:
Situation Model Perspectives
October 2019 – July 2020
Convenors: Werner Schneider (Bielefeld, GER), Helge Ritter (Bielefeld, GER)
Andrew studied Applied Mathematics and Physics at Moscow Institute of Physics and Technology and received his Ph.D. in Cognitive Science from Osnabrück University (Germany) for his thesis on sensorimotor processing in the human brain and in cognitive architectures. He is currently a Postdoc at CITEC at Bielefeld University.
Current Main Research Interests
Andrew is working on integrating Artificial Intelligence, Machine Learning, and Robotics. In 2019 his team won the Microsoft multi-agent reinforcement learning challenge. Current teaching and projects: teaching
Five selected publications with particular relevance to the Research Group
- Melnik, A., Fleer, S., Schilling, M., & Ritter, H. (2019). Modularization of End-to-End Learning: Case Study in Arcade Games. arXiv preprint arXiv:1901.09895.
- Melnik, A., Schüler, F., Rothkopf, C. A., & König, P. (2018). The World as an External Memory: The Price of Saccades in a Sensorimotor Task. Frontiers in Behavioral Neuroscience, 12, 253. doi:10.3389/fnbeh.2018.00253
- Schilling, M., & Melnik, A. (2018). An approach to hierarchical deep reinforcement learning for a decentralized walking control architecture. In A. Samsonovich (Eds.) Biologically Inspired Cognitive Architectures 2018. BICA 2018. Advances in Intelligent Systems and Computing, 848, 272-282. Springer, Cham.
- Melnik, A., Legkov, P., Izdebski, K., Kärcher, S. M., Hairston, W. D., Ferris, D. P., & König, P. (2017). Systems, subjects, sessions: to what extent do these factors influence EEG data? Frontiers in Human Neuroscience, 11, 150.
- Melnik, A., Hairston, W. D., Ferris, D. P., & König, P. (2017). EEG correlates of sensorimotor processing: independent components involved in sensory and motor processing. Scientific Reports, 7, 4461.