Markus Semmler
Markus is interested in process automation supported by information technologies. He studied Computer Science in Darmstadt, then landed his current job at appliedAI. He enjoys research and applications in optimal control and reinforcement learning.

Markus' work

Software

pyDVL: the python Data Valuation Library

pyDVL strives to offer reference implementations of algorithms for data valuation and influence function computation, with an emphasis on …

Anes Benmerzoug Miguel de Benito Delgado Janoś Gabler Fabio Peruzzo Kristof Schröder Markus Semmler
Data Valuation
Seminar

Bayesian optimal experiment design (2 of 2)

This is the second of a two talks providing an introduction to Bayesian optimal experimental design (BOED) and how it relates to exploration …

Markus Semmler
Seminar

Bayesian optimal experiment design (1 of 2)

These two talks give an introduction to Bayesian optimal experimental design (BOED) and how it relates to exploration in reinforcement …

Markus Semmler