Nikolay Nikolov, PhD

My work is at the intersection of Reinforcement Learning, Computer Vision and LLMs. I am particularly interested in learning multimodal behaviors and developing foundational models for Robotics and World Modeling. I was part of the core research team of Wayve, an autonomous driving company. There, I developed one of the first offline Reinforcement Learning models applied to autonomous driving in the real world. With my team we proved that end-to-end AI can drive in complex urban environments such as central London, which at the time was considered doubtful by the entire industry. I am co-author of two accepted papers at top robotics and ML venues: ICRA and ICLR.