Seminars
Reinforcement learning (RL) is a sub-area of machine learning to solve control tasks such as self-driving, learning to playing Chess or Go. RL algorithms need to balance exploration (finding new ways) as well as exploitation (sticking to old ways that have worked).
Based on a detailed study of the bacterial Shiga toxin we discuss the membrane mediated interactions between membrane inclusions. Shiga toxin interacts with its cellular receptor, the glycosphingolipid globotriaosylceramide (Gb3 or CD77), as a first step to entering target cells. This is followed by clustering of the Shiga Toxin-receptor complexes at the membrane and tubular invagination into the cytoplasm of the cell.
Abstract: The next generation of robots are going to work much more closely with humans, other robots and interact significantly with the environment around it. As a result, the key paradigms are shifting from isolated decision making systems to one that involves shared control -- with significant autonomy devolved to the robot platform; and end-users in the loop making only high level decisions.
