153 citations · 512 across the 40 of their papers we have counts for
41 papers
Cognitive Effects in Large Language Models
Jonathan Shaki, Sarit Kraus, Michael Wooldridge
Large Language Models (LLMs) such as ChatGPT have received enormous attention over the past year and are now used by hundreds of millions of people every day. The rapid adoption of…
Contrastive Explanations of Centralized Multi-agent Optimization Solutions
Parisa Zehtabi, Alberto Pozanco, Ayala Bloch +2
In many real-world scenarios, agents are involved in optimization problems. Since most of these scenarios are over-constrained, optimal solutions do not always satisfy all agents.…
Explainable Multi-Agent Reinforcement Learning for Temporal Queries
Kayla Boggess, Sarit Kraus, Lu Feng
As multi-agent reinforcement learning (MARL) systems are increasingly deployed throughout society, it is imperative yet challenging for users to understand the emergent behaviors o…
A Coupled Flow Approach to Imitation Learning
Gideon Freund, Elad Sarafian, Sarit Kraus
In reinforcement learning and imitation learning, an object of central importance is the state distribution induced by the policy. It plays a crucial role in the policy gradient th…
Cooperative Concurrent Games
Julian Gutierrez, Szymon Kowara, Sarit Kraus +2
In rational verification, the aim is to verify which temporal logic properties will obtain in a multi-agent system, under the assumption that agents ("players") in the system choos…
Resource Sharing Through Multi-Round Matchings
Yohai Trabelsi, Abhijin Adiga, Sarit Kraus +2
Applications such as employees sharing office spaces over a workweek can be modeled as problems where agents are matched to resources over multiple rounds. Agents' requirements lim…