Oleg Arenz

Oleg Arenz is a researcher at the TU Darmstadt, affiliated with the Intelligent Autonomous Systems group within the Computer Science Department. He leads the Laboratory for Humanoid Robotics, a cross-departmental facility focused on advancing humanoid robotics research. His work bridges theoretical machine learning and practical robotics applications.

• Current research emphasizes hierarchical learning frameworks and abstraction layers for scalable robot learning
• Developed GMMVI framework for Gaussian mixture model optimization

Research Interests:

• Machine Learning
• Robotics
• Inverse Reinforcement Learning
• Imitation Learning
• Grasping and Manipulation
• Variational Inference

Publication Trends: His recent work focuses on distribution-matching formulations for variational inference and imitation learning, with mathematical unification of reinforcement learning paradigms. Keywords span robotics, machine learning, optimization theory, and Gaussian mixture models.

Contact:
Email: oleg.arenz@tu-darmstadt.de
Office: Room E226, Building S2|02, TU Darmstadt