b'Sarit Kraus'

research

∙ 08/28/2023

Cognitive Effects in Large Language Models

Large Language Models (LLMs) such as ChatGPT have received enormous atte...

0 Jonathan Shaki, et al. ∙

research

∙ 08/11/2023

Contrastive Explanations of Multi-agent Optimization Solutions

In many real-world scenarios, agents are involved in optimization proble...

0 Parisa Zehtabi, et al. ∙

research

∙ 05/17/2023

Explainable Multi-Agent Reinforcement Learning for Temporal Queries

As multi-agent reinforcement learning (MARL) systems are increasingly de...

0 Kayla Boggess, et al. ∙

research

∙ 04/29/2023

A Coupled Flow Approach to Imitation Learning

In reinforcement learning and imitation learning, an object of central i...

0 Gideon Freund, et al. ∙

research

∙ 01/15/2023

Cooperative Concurrent Games

In rational verification, the aim is to verify which temporal logic prop...

0 Julian Gutierrez, et al. ∙

research

∙ 11/30/2022

Resource Sharing Through Multi-Round Matchings

Applications such as employees sharing office spaces over a workweek can...

0 Yohai Trabelsi, et al. ∙

research

∙ 10/31/2022

Artificial Intelligence and Life in 2030: The One Hundred Year Study on Artificial Intelligence

In September 2016, Stanford's "One Hundred Year Study on Artificial Inte...

0 Peter Stone, et al. ∙

research

∙ 09/12/2022

Efficient Customer Service Combining Human Operators and Virtual Agents

The prospect of combining human operators and virtual agents (bots) into...

8 Yaniv Oshrat, et al. ∙

research

∙ 09/12/2022

Resource Allocation to Agents with Restrictions: Maximizing Likelihood with Minimum Compromise

Many scenarios where agents with restrictions compete for resources can ...

4 Yohai Trabelsi, et al. ∙

research

∙ 08/29/2022

Enjoy the Ride Consciously with CAWA: Context-Aware Advisory Warnings for Automated Driving

In conditionally automated driving, drivers decoupled from driving while...

0 Erfan Pakdamanian, et al. ∙

research

∙ 07/11/2022

Strategic Voting in the Context of Stable-Matching of Teams

In the celebrated stable-matching problem, there are two sets of agents ...

0 Leora Schmerler, et al. ∙

research

∙ 07/10/2022

Not Just Skipping. Understanding the Effect of Sponsored Content on Users' Decision-Making in Online Health Search

Advertisements (ads) are an innate part of search engine business models...

0 Anat Hashavit, et al. ∙

research

∙ 06/07/2022

Explainability in Mechanism Design: Recent Advances and the Road Ahead

Designing and implementing explainable systems is seen as the next step ...

0 Sharadhi Alape Suryanarayana, et al. ∙

research

∙ 05/24/2022

Justifying Social-Choice Mechanism Outcome for Improving Participant Satisfaction

In many social-choice mechanisms the resulting choice is not the most pr...

0 Sharadhi Alape Suryanarayana, et al. ∙

research

∙ 04/29/2022

Robust Solutions for Multi-Defender Stackelberg Security Games

Multi-defender Stackelberg Security Games (MSSG) have recently gained in...

6 Dolev Mutzari, et al. ∙

research

∙ 04/26/2022

Toward Policy Explanations for Multi-Agent Reinforcement Learning

Advances in multi-agent reinforcement learning (MARL) enable sequential ...

7 Kayla Boggess, et al. ∙

research

∙ 03/16/2022

Explaining Preference-driven Schedules: the EXPRES Framework

Scheduling is the task of assigning a set of scarce resources distribute...

4 Alberto Pozanco, et al. ∙

research

∙ 03/03/2022

Uncertainty with UAV Search of Multiple Goal-oriented Targets

This paper considers the complex problem of a team of UAVs searching tar...

0 Mor Sinay, et al. ∙

research

∙ 01/11/2022

A Negotiating Strategy for a Hybrid Goal Function in Multilateral Negotiation

In various multi-agent negotiation settings, a negotiator's utility depe...

0 Alon Stern, et al. ∙

research

∙ 06/12/2021

Recomposing the Reinforcement Learning Building Blocks with Hypernetworks

The Reinforcement Learning (RL) building blocks, i.e. Q-functions and po...

3 Shai Keynan, et al. ∙

research

∙ 05/20/2021

Manipulation of k-Coalitional Games on Social Networks

In many coalition formation games the utility of the agents depends on a...

0 Naftali Waxman, et al. ∙

research

∙ 05/09/2021

Advising Agent for Service-Providing Live-Chat Operators

Call centers, in which human operators attend clients using textual chat...

2 Aviram Aviv, et al. ∙

research

∙ 05/04/2021

Broadly Applicable Targeted Data Sample Omission Attacks

We introduce a novel clean-label targeted poisoning attack on learning m...

2 Guy Barash, et al. ∙

research

∙ 12/31/2020

DeepTake: Prediction of Driver Takeover Behavior using Multimodal Data

Automated vehicles promise a future where drivers can engage in non-driv...

2 Erfan Pakdamanian, et al. ∙

research

∙ 01/29/2020

On Maximizing Egalitarian Value in K-coalitional Hedonic Games

This paper considers the problem of dividing agents among coalitions. We...

0 Naftali Waxman, et al. ∙

research

∙ 07/03/2018

Providing Explanations for Recommendations in Reciprocal Environments

Automated platforms which support users in finding a mutually beneficial...

0 Akiva Kleinerman, et al. ∙

research

∙ 05/20/2018

Safe Policy Learning from Observations

In this paper, we consider the problem of learning a policy by observing...

0 Elad Sarafian, et al. ∙

research

∙ 05/15/2018

Leveraging human knowledge in tabular reinforcement learning: A study of human subjects

Reinforcement Learning (RL) can be extremely effective in solving comple...

0 Ariel Rosenfeld, et al. ∙

research

∙ 05/02/2018

Negotiation Strategies for Agents with Ordinal Preferences

Negotiation is a very common interaction between automated agents. Many ...

0 Sefi Erlich, et al. ∙

research

∙ 02/09/2018

A Study of WhatsApp Usage Patterns and Prediction Models without Message Content

Internet social networks have become a ubiquitous application allowing p...

0 Avi Rosenfeld, et al. ∙

research

∙ 09/27/2017

Combining Prediction of Human Decisions with ISMCTS in Imperfect Information Games

Monte Carlo Tree Search (MCTS) has been extended to many imperfect infor...

0 Moshe Bitan, et al. ∙

research

∙ 06/19/2017

Learning to Schedule Deadline- and Operator-Sensitive Tasks

The use of semi-autonomous and autonomous robotic assistants to aid in c...

0 Hanan Rosemarin, et al. ∙

research

∙ 06/24/2016

Human-Agent Decision-making: Combining Theory and Practice

Extensive work has been conducted both in game theory and logic to model...

0 Sarit Kraus, et al. ∙

research

∙ 02/20/2014

Using the Crowd to Generate Content for Scenario-Based Serious-Games

In the last decade, scenario-based serious-games have become a main tool...

0 Sigal Sina, et al. ∙

research

∙ 02/18/2002

Nonmonotonic Reasoning, Preferential Models and Cumulative Logics

Many systems that exhibit nonmonotonic behavior have been described and ...

0 Sarit Kraus, et al. ∙

Sarit Kraus

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