1. Modeling Interaction-Aware Driving Behavior using Graph-Based Representations and Multi-Agent Reinforcement Learning. Presented at 2023 IEEE 26th International Intelligent Transportation Systems Conference (ITSC).
2. Parameter Sharing Reinforcement Learning for Modeling Multi-Agent Driving Behavior in Roundabout Scenarios. Presented at 2021 IEEE International Intelligent Transportation Systems Conference (ITSC).
Research Experience
1. Motion Prediction of Interacting Agents in Urban Traffic Scenarios.
2. Inverse Reinforcement Learning for Modeling Human Driving Behavior.
Education
External PhD student at the Institute for Measurement and Control Technology (MRT), Karlsruhe Institute of Technology (KIT).
Background
External PhD student. Research interests include motion prediction of interacting agents in urban traffic scenarios, inverse reinforcement learning for modeling human driving behavior.