EMERGE Lab

Eugene Vinitsky is a Professor of Civil and Urban Engineering at NYU and a member of the C2SMARTER consortium. His primary research interest is figuring out how to make developing multi-agent controllers, planners, and intelligence as easy as possible by developing new learning algorithms, software, and tools. He looks for applications of these techniques in civil engineering problems and autonomy. He received his PhD in controls engineering from UC Berkeley.

Daphne's main interest lies in building agents that are both competent and human-compatible, particularly in the fields of autonomous vehicles and transportation. To this end, she intends to incorporate principles from human learning and generalization into multi-agent RL. Her goal is to discover the essential ingredients that will allow agents to demonstrate sophisticated behavior and anticipate the actions of others in their environment.

Aditya’s research interests are in building autonomous agents that learn by interacting with the environment through the lens of sequential decision making. A focus of his research is to understand the interaction of several agents and study emergent intelligent behaviours. He is particularly interested in the settings of non-stationary environments and incomplete observations—like in multi-agent RL. He also has an interest in and finds inspiration from stochastic control, probability theory and statistics.

Sam is Sam.

Aarav is pursuing a Master's in Computer Engineering at NYU. He's interested in building autonomous agents capable of exhibiting complex behaviours to simplify human lives. His areas of interest include long-horizon planning, multi-agent problems, safe RL, and more within the realm of self-driving cars. Currently, he's concentrating on developing simulations that optimize scalability, facilitating rapid design and training of RL agents.

Kalpan is a final year Computer Science grad student at Courant. He is particularly interested in applications of reinforcement learning via the utilization of large language model's inconsistencies as a feature for guided exploration in common sense tasks. Consequently he hopes to further research centered around solving more fundamental problems in LLMs like inconsistency, sub-optimal causal attribution and insensitivity to scale.

Aneesh is a Master’s in Computer Engineering student. His research interests lie in RL, NLP and Multimodal Machine Learning. He is passionate about using NLP techniques to make more human understandable RL agents. Often working on the intersection of different domains in ML, his current work focuses on LLM based agent discovery.

Rutuja is currently pursuing her master’s in computer engineering and exploring reinforcement learning. With a keen interest in safe and sustainable RL, she's passionate about applying her skills to research that balances innovation with ethical considerations.

Alex is a Computer Science undergrad who is interested in reinforcement learning and unit testing for RL. He hopes to gain experience with the research process and delve deeper into RL techniques.

Franklin is a Computer Science undergrad with an interest in RL and its applications in autonomous vehicles and robotics. He hopes to explore the boundary between RL and more traditional control theory to create safe locomotion systems. He is less serious than his photo.

Tiffany is a Math CS undergrad who is interested in reinforcement learning. She hopes to gain experience in research and she likes dogs.