3 papers
cs.CY2024
ICE-T: A Multi-Faceted Concept for Teaching Machine Learning
Hendrik Krone, Pierre Haritz, Thomas Liebig
The topics of Artificial intelligence (AI) and especially Machine Learning (ML) are increasingly making their way into educational curricula. To facilitate the access for students,…
cs.LG2024
Using Petri Nets as an Integrated Constraint Mechanism for Reinforcement Learning Tasks
Timon Sachweh, Pierre Haritz, Thomas Liebig
The lack of trust in algorithms is usually an issue when using Reinforcement Learning (RL) agents for control in real-world domains such as production plants, autonomous vehicles,…
cs.RO2024
Enhancing Safety for Autonomous Agents in Partly Concealed Urban Traffic Environments Through Representation-Based Shielding
Pierre Haritz, David Wanke, Thomas Liebig
Navigating unsignalized intersections in urban environments poses a complex challenge for self-driving vehicles, where issues such as view obstructions, unpredictable pedestrian cr…