The Rachel and Selim Benin School of Computer Science and Engineering
THE HEBREW UNIVERSITY OF JERUSALEM
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Multi-agent Environments

How autonomous agents coordinate, compete, and behave at scale.

Research at the intersection of machine learning, game theory, and formal verification, covering privacy, fairness, AI policy, multi-agent verification, and strategic behavior of learning systems.

Labs in Multi-agent Environments

Tom Hope

Hope Lab, Dr. Tom Hope

Develops LLM-based agents for scientific discovery, medical diagnosis, and psychiatric applications. Also a research scientist at the Allen Institute for AI (Ai2).

Lab Website ↗
Katrina Ligett

Ligett Lab, Prof. Katrina Ligett

Researches the intersection of machine learning, privacy, and fairness, including theoretical foundations of differential privacy and AI regulation, bridging algorithmic research with AI policy.

Lab Website ↗
Orna Kupferman

Kupferman Lab, Prof. Orna Kupferman

Develops formal methods for multi-agent system verification, synthesis, and game-theoretic analysis, using logic-based approaches to reason about autonomous systems and AI safety.

Lab Website ↗
Noam Nisan

Learning in Markets and Games, Prof. Noam Nisan

What happens when learning agents participate in strategic scenarios? Research at the intersection of machine learning, game theory, and market design.

Lab Website ↗