Tom Haider

Research Engineer

Tom Haider studied computer science at the Technical University of Denmark (DTU) in Copenhagen and joined Fraunhofer IKS as a research engineer in November 2020. He is doing his doctorate on the topic of "Safe Reinforcement Learning" and is working on making autonomous systems more dependable.

Articles

by Tom Haider

Machine learning
Out-of-distribution detection for reinforcement learning

How can intelligent systems learn to perform tasks – and do so simply by interacting with their environment? This is the subject of reinforcement learning, a subfield of machine learning. Problems occur primarily when situations arise that the system is not yet familiar with.

Artificial intelligence
Institute buildup/expansion
April 28, 2022

Tom Haider

Articles

Machine learning Out-of-distribution detection for reinforcement learning

Machine learning
Out-of-distribution detection for reinforcement learning