Smart Analytics & Reinforcement Learning

Exploring cutting-edge reinforcement learning applications from theoretical research to industry solutions at PLUS University Salzburg.

Research Areas

Our team focuses on these key areas of reinforcement learning and AI research:

Multivariate Time Series Analysis

Developing novel approaches for analyzing complex temporal data patterns and trends across multiple variables.

Bayesian Methods

Applying probabilistic modeling and Bayesian inference to handle uncertainty and incorporate prior knowledge in learning systems.

Human-AI Integration

Creating synergistic systems that combine human expertise with artificial intelligence capabilities for optimal decision-making.

Our Team

Meet the researchers and academics driving innovation in reinforcement learning:

Simon Hirlaender

Simon Hirlaender

Team Lead, Reinforcement Learning and Smart Analytics

Leading the SARL team's research initiatives in reinforcement learning applications and interdisciplinary AI projects.

Sarah Trausner

Sarah Trausner

Master Student (DEOP 2.5)

Master student working on dynamic energy optimization research. Active from October 1, 2024 to August 31, 2025.

Olga Mironova

Olga Mironova

Master Student (Danieli X - PLUS)

Master student involved in the Danieli X research collaboration. Active from February 15, 2024 to June 30, 2025.

Sabrina Pochaba

Sabrina Pochaba

Predoc-Position - In co-operation with Salzburg Research

Researcher focusing on multi-agent reinforcement learning. Active from September 1, 2021 to December 31, 2025.

Benjamin Halilovic

Benjamin Halilovic

Master Student

Master student contributing to the team's research in reinforcement learning and smart analytics.

Announcements & Upcoming Events

More Announcements

  • May 1, 2024 Open Positions: PhD and Postdoc in Reinforcement Learning Learn More
  • April 15, 2024 New Research Grant: AI for Sustainable Energy Systems Learn More

Recent Publications

Our latest research contributions to the field:

Our team actively contributes to the reinforcement learning research community. Below are our recent publications, including our latest contribution to the RL4AA'24 Workshop held at Paris-Lodron-Universität Salzburg.

Example Publication Title

Hirlaender, S., et al.

Journal of Reinforcement Learning, 2023

Another Example Publication

Team Members

Conference on AI and Machine Learning, 2022

Contact Us

Visit Us

Address:

IDA Lab Salzburg
Fachbereich Artificial Intelligence & Human Interfaces (AIHI)
Fakultät Digital & Analytical Sciences (DAS)
Paris Lodron Universität Salzburg (PLUS)
Jakob-Haringer-Straße 6 | Techno 6 | 5020 Salzburg | Austria

IDA Lab Salzburg (SARL Team)
Jakob-Haringer-Straße 6 | Techno 6 | 5020 Salzburg | Austria