Welcome to the Chair of Artificial Intelligence and Machine Learning (UBT AI/ML)

Given the rapid development and advancement of AI systems, multi-agent cooperation will become increasingly relevant to benefit society. Thus, our research interests center around intelligent decision-making and optimization in multi-agent systems to achieve that cooperation.

We are conducting research on flexible and scalable planning and learning techniques. Potential applications include large-scale, distributed, and intelligent systems, such as warehouse automation, smart manufacturing, and traffic management.

Research Topics:

• Multi-Agent Systems
• Reinforcement Learning
• Combinatorial Optimization