The speaker will be Rudolf Kulhavý, seminar will be held on Thursday 28. 7. 2022 at 13:00 in the AS-meeting room 474.

The world of practical applications of modeling and optimization is rich, colorful, and hard to overlook. The seminar will attempt to yield more insight by structuring the space of opportunities around three dimensions of every economic activity, namely Product (design) Process (improvement) Customer (management) A range of real-life applications in multiple industries will be used to illustrate the classification.

The speaker will be Miroslav Kárný, the seminar will be held on Wednesday 25.5.2022 at 11:00 in the AS-meeting room 474. 

Speaker will be Tereza Siváková.

The research studies optimal decision-making with the focus on preferences quantified for fully probabilistic design (FPD). FPD models the closed DM loop and the agent’s preferences by joint probability densities (pds). There is a preference-elicitation (PE) principle, which maps the agent’s model of the state transitions and its incompletely expressed wishes on an ideal pd quantifying them. This research also studies preferences targeting actions and contradicting preferences.

Speaker will be Marko Ruman.

Deep reinforcement learning has shown an ability to achieve super-human performance in solving complex reinforcement learning tasks only from raw-pixels. However, it fails to reuse knowledge from previously learnt tasks to solve new, unseen ones. To generalize and reuse knowledge is one of the fundamental requirements for creating a truly intelligent agent. The work summarizes the problem of transfer learning in reinforcement learning tasks and offers a method for one-to-one task transfer learning.