Mert Albaba

Mert Albaba is a joint PhD student at ETH Zurich and the Max Planck Institute for Intelligent Systems (Tübingen), advised by Prof. Andreas Krause, Prof. Otmar Hilliges, and Prof. Michael Black. His research focuses on deep reinforcement learning, computer vision, and language models to model human behavior through generative approaches. He explores integrating vision-language models into imitation learning pipelines to enhance their generative capabilities.

• Affiliations: Max Planck Institute for Intelligent Systems (Primary), ETH Zurich
• Advisors: Andreas Krause, Otmar Hilliges, Michael Black

Research Interests:

• Reinforcement learning and game theory for human behavior modeling
• Generative models for behavior representation
• Imitation learning with vision-language integration

Key Projects: Development of frameworks like GT-DQN (RL + game theory) and SyNet (object detection for UAVs). Active contributor in repositories related to reinforcement learning, vision, and generative models on GitHub.