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ORCIDSarit Kraus
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- affiliation: Bar-Ilan University, Ramat Gan, Israel
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2020 – today
- 2023
[j128]Julian Gutierrez, Szymon Kowara, Sarit Kraus
, Thomas Steeples, Michael J. Wooldridge:
Cooperative concurrent games. Artif. Intell. 314: 103806 (2023)- [j127]Youdinghuan Chen, Chongyang Gao, Daveed Gartenstein-Ross, Kevin T. Greene, Karin Kalif, Sarit Kraus, Francesco Parisi, Chiara Pulice, Anja Subasic, V. S. Subrahmanian:
Linking Terrorist Network Structure to Lethality: Algorithms and Analysis of Al Qaeda and ISIS. IEEE Trans. Comput. Soc. Syst. 10(5): 2814-2826 (2023) - [c279]Yohai Trabelsi, Abhijin Adiga, Sarit Kraus, S. S. Ravi, Daniel J. Rosenkrantz:
Resource Sharing through Multi-Round Matchings. AAAI 2023: 11681-11690 - [c278]Sarit Kraus, Yaniv Oshrat, Yonatan Aumann, Tal Hollander, Oleg Maksimov, Anita Ostroumov, Natali Shechtman:
Customer Service Combining Human Operators and Virtual Agents: A Call for Multidisciplinary AI Research. AAAI 2023: 15393-15401 - [c277]Osnat Ackerman Viden, Yohai Trabelsi, Pan Xu, Karthik Abinav Sankararaman, Oleg Maksimov, Sarit Kraus:
Allocation Problem in Remote Teleoperation: Online Matching with Offline Reusable Resources and Delayed Assignments. AAMAS 2023: 513-521 - [c276]Dolev Mutzari, Yonatan Aumann, Sarit Kraus:
Resilient Fair Allocation of Indivisible Goods. AAMAS 2023: 2688-2690 - [c275]Jonathan Shaki, Sarit Kraus, Michael J. Wooldridge:
Cognitive Effects in Large Language Models. ECAI 2023: 2105-2112 - [c274]Gideon Joseph Freund, Elad Sarafian, Sarit Kraus:
A Coupled Flow Approach to Imitation Learning. ICML 2023: 10357-10372 - [c273]Kayla Boggess, Sarit Kraus, Lu Feng:
Explainable Multi-Agent Reinforcement Learning for Temporal Queries. IJCAI 2023: 55-63 - [c272]Yohai Trabelsi, Or Shabat, Joel Lanir, Oleg Maksimov, Sarit Kraus:
Advice Provision in Teleoperation of Autonomous Vehicles. IUI 2023: 750-761 - [c271]Anat Hashavit, Hongning Wang, Tamar Stern, Sarit Kraus:
Not Just Skipping: Understanding the Effect of Sponsored Content on Users' Decision-Making in Online Health Search. SIGIR 2023: 1056-1065 - [i39]Julian Gutierrez, Szymon Kowara, Sarit Kraus, Thomas Steeples, Michael J. Wooldridge:
Cooperative Concurrent Games. CoRR abs/2301.06157 (2023) - [i38]Gideon Freund, Elad Sarafian, Sarit Kraus:
A Coupled Flow Approach to Imitation Learning. CoRR abs/2305.00303 (2023) - [i37]Kayla Boggess, Sarit Kraus, Lu Feng:
Explainable Multi-Agent Reinforcement Learning for Temporal Queries. CoRR abs/2305.10378 (2023) - [i36]Parisa Zehtabi, Alberto Pozanco, Ayala Bloch, Daniel Borrajo, Sarit Kraus:
Contrastive Explanations of Multi-agent Optimization Solutions. CoRR abs/2308.05984 (2023) - [i35]Jonathan Shaki, Sarit Kraus, Michael J. Wooldridge:
Cognitive Effects in Large Language Models. CoRR abs/2308.14337 (2023) - 2022
- [j126]Jiarui Gan, Edith Elkind, Sarit Kraus, Michael J. Wooldridge:
Defense coordination in security games: Equilibrium analysis and mechanism design. Artif. Intell. 313: 103791 (2022) - [c270]Alberto Pozanco, Francesca Mosca, Parisa Zehtabi, Daniele Magazzeni, Sarit Kraus:
Explaining Preference-Driven Schedules: The EXPRES Framework. ICAPS 2022: 710-718 - [c269]Sharadhi Alape Suryanarayana, David Sarne, Sarit Kraus:
Justifying Social-Choice Mechanism Outcome for Improving Participant Satisfaction. AAMAS 2022: 1246-1255 - [c268]Aviram Aviv, Yaniv Oshrat, Samuel A. Assefa, Tobi Mustapha, Daniel Borrajo, Manuela Veloso, Sarit Kraus:
Advising Agent for Service-Providing Live-Chat Operators. AAMAS 2022: 1527-1529 - [c267]Yohai Trabelsi, Abhijin Adiga, Sarit Kraus, S. S. Ravi:
Maximizing Resource Allocation Likelihood with Minimum Compromise. AAMAS 2022: 1738-1740 - [c266]Erfan Pakdamanian, Erzhen Hu, Shili Sheng, Sarit Kraus, Seongkook Heo, Lu Feng:
Enjoy the Ride Consciously with CAWA: Context-Aware Advisory Warnings for Automated Driving. UI 2022: 75-85 - [c265]Aviram Aviv, Yaniv Oshrat, Samuel Assefa, Toby Mustapha, Daniel Borrajo, Manuela Veloso, Sarit Kraus:
Advising Agent for Service-Providing Live-Chat Operators. EUMAS 2022: 41-59 - [c264]Sharadhi Alape Suryanarayana, David Sarne, Sarit Kraus:
Explainability in Mechanism Design: Recent Advances and the Road Ahead. EUMAS 2022: 364-382 - [c263]Yohai Trabelsi, Abhijin Adiga, Sarit Kraus, S. S. Ravi:
Resource Allocation to Agents with Restrictions: Maximizing Likelihood with Minimum Compromise. EUMAS 2022: 403-420 - [c262]Kayla Boggess, Sarit Kraus, Lu Feng:
Toward Policy Explanations for Multi-Agent Reinforcement Learning. IJCAI 2022: 109-115 - [c261]Dolev Mutzari, Yonatan Aumann, Sarit Kraus:
Robust Solutions for Multi-Defender Stackelberg Security Games. IJCAI 2022: 433-439 - [c260]Benjamin Wexler, Elad Sarafian, Sarit Kraus:
Analyzing and Overcoming Degradation in Warm-Start Reinforcement Learning. IROS 2022: 4048-4055 - [c259]Leora Schmerler, Noam Hazon, Sarit Kraus:
Strategic Voting in the Context of Stable-Matching of Teams. SAGT 2022: 562-579 - [c258]Julian Gutierrez, Sarit Kraus, Giuseppe Perelli, Michael J. Wooldridge:
Giving Instructions in Linear Temporal Logic. TIME 2022: 15:1-15:14 - [i34]Alon Stern, Sarit Kraus, David Sarne:
A Negotiating Strategy for a Hybrid Goal Function in Multilateral Negotiation. CoRR abs/2201.04126 (2022) - [i33]Alberto Pozanco, Francesca Mosca, Parisa Zehtabi, Daniele Magazzeni, Sarit Kraus:
Explaining Preference-driven Schedules: the EXPRES Framework. CoRR abs/2203.08895 (2022) - [i32]Mor Sinay, Noa Agmon, Oleg Maksimov, Aviad Fux, Sarit Kraus:
Uncertainty with UAV Search of Multiple Goal-oriented Targets. CoRR abs/2203.09476 (2022) - [i31]Kayla Boggess, Sarit Kraus, Lu Feng:
Toward Policy Explanations for Multi-Agent Reinforcement Learning. CoRR abs/2204.12568 (2022) - [i30]Dolev Mutzari, Yonatan Aumann, Sarit Kraus:
Robust Solutions for Multi-Defender Stackelberg Security Games. CoRR abs/2204.14000 (2022) - [i29]Sharadhi Alape Suryanarayana, David Sarne, Sarit Kraus:
Justifying Social-Choice Mechanism Outcome for Improving Participant Satisfaction. CoRR abs/2205.15863 (2022) - [i28]Sharadhi Alape Suryanarayana, David Sarne, Sarit Kraus:
Explainability in Mechanism Design: Recent Advances and the Road Ahead. CoRR abs/2206.03031 (2022) - [i27]Anat Hashavit, Hongning Wang, Tamar Stern, Sarit Kraus:
Not Just Skipping. Understanding the Effect of Sponsored Content on Users' Decision-Making in Online Health Search. CoRR abs/2207.04445 (2022) - [i26]Leora Schmerler, Noam Hazon, Sarit Kraus:
Strategic Voting in the Context of Stable-Matching of Teams. CoRR abs/2207.04912 (2022) - [i25]Erfan Pakdamanian, Erzhen Hu, Shili Sheng, Sarit Kraus, Seongkook Heo, Lu Feng:
Enjoy the Ride Consciously with CAWA: Context-Aware Advisory Warnings for Automated Driving. CoRR abs/2208.13900 (2022) - [i24]Yohai Trabelsi, Abhijin Adiga, Sarit Kraus, S. S. Ravi:
Resource Allocation to Agents with Restrictions: Maximizing Likelihood with Minimum Compromise. CoRR abs/2209.05170 (2022) - [i23]Yaniv Oshrat, Yonatan Aumann, Tal Hollander, Oleg Maksimov, Anita Ostroumov, Natali Shechtman, Sarit Kraus:
Efficient Customer Service Combining Human Operators and Virtual Agents. CoRR abs/2209.05226 (2022) - [i22]Peter Stone, Rodney Brooks, Erik Brynjolfsson, Ryan Calo, Oren Etzioni, Greg Hager, Julia Hirschberg, Shivaram Kalyanakrishnan, Ece Kamar, Sarit Kraus, Kevin Leyton-Brown, David C. Parkes, William H. Press, AnnaLee Saxenian, Julie Shah, Milind Tambe, Astro Teller:
Artificial Intelligence and Life in 2030: The One Hundred Year Study on Artificial Intelligence. CoRR abs/2211.06318 (2022) - [i21]Yohai Trabelsi, Abhijin Adiga, Sarit Kraus, S. S. Ravi, Daniel J. Rosenkrantz:
Resource Sharing Through Multi-Round Matchings. CoRR abs/2211.17199 (2022) - 2021
- [j125]Yanhai Xiong, Bo An, Sarit Kraus:
Electric vehicle charging strategy study and the application on charging station placement. Auton. Agents Multi Agent Syst. 35(1): 3 (2021) - [j124]Sharadhi Alape Suryanarayana, David Sarne, Sarit Kraus:
Information Design in Affiliate Marketing. Auton. Agents Multi Agent Syst. 35(2): 23 (2021) - [j123]Hanan Rosemarin, Ariel Rosenfeld, Steven Lapp, Sarit Kraus:
LBA: Online Learning-Based Assignment of Patients to Medical Professionals. Sensors 21(9): 3021 (2021) - [j122]Akiva Kleinerman, Ariel Rosenfeld, Francesco Ricci, Sarit Kraus:
Supporting users in finding successful matches in reciprocal recommender systems. User Model. User Adapt. Interact. 31(3): 541-589 (2021) - [c257]Dolev Mutzari, Jiarui Gan, Sarit Kraus:
Coalition Formation in Multi-defender Security Games. AAAI 2021: 5603-5610 - [c256]Erfan Pakdamanian, Shili Sheng, Sonia Baee, Seongkook Heo, Sarit Kraus, Lu Feng:
DeepTake: Prediction of Driver Takeover Behavior using Multimodal Data. CHI 2021: 103:1-103:14 - [c255]Elad Sarafian, Shai Keynan, Sarit Kraus:
Recomposing the Reinforcement Learning Building Blocks with Hypernetworks. ICML 2021: 9301-9312 - [c254]Naftali Waxman, Sarit Kraus, Noam Hazon:
Manipulation of k-Coalitional Games on Social Networks. IJCAI 2021: 450-457 - [c253]Anat Hashavit, Hongning Wang, Raz Lin, Tamar Stern, Sarit Kraus:
Understanding and Mitigating Bias in Online Health Search. SIGIR 2021: 265-274 - [i20]Guy Barash, Eitan Farchi, Sarit Kraus, Onn Shehory:
Broadly Applicable Targeted Data Sample Omission Attacks. CoRR abs/2105.01560 (2021) - [i19]Aviram Aviv, Yaniv Oshrat, Samuel A. Assefa, Tobi Mustapha, Daniel Borrajo, Manuela Veloso, Sarit Kraus:
Advising Agent for Service-Providing Live-Chat Operators. CoRR abs/2105.03986 (2021) - [i18]Naftali Waxman, Noam Hazon, Sarit Kraus:
Manipulation of k-Coalitional Games on Social Networks. CoRR abs/2105.09852 (2021) - [i17]Shai Keynan, Elad Sarafian, Sarit Kraus:
Recomposing the Reinforcement Learning Building Blocks with Hypernetworks. CoRR abs/2106.06842 (2021) - 2020
- [j121]Ariel Rosenfeld, Oleg Maksimov, Sarit Kraus:
When security games hit traffic: A deployed optimal traffic enforcement system. Artif. Intell. 289: 103381 (2020) - [j120]Ariel Rosenfeld, Moshe Cohen, Sarit Kraus, Joseph Keshet:
Online prediction of time series with assumed behavior. Eng. Appl. Artif. Intell. 88 (2020) - [j119]Paul E. Dunne, Paul Harrenstein, Sarit Kraus, Michael J. Wooldridge:
Delegating Decisions in Strategic Settings. IEEE Trans. Artif. Intell. 1(1): 19-33 (2020) - [j118]Haipeng Chen, Mohammad Taghi Hajiaghayi, Sarit Kraus, Anshul Sawant, Edoardo Serra, V. S. Subrahmanian, Yanhai Xiong:
PIE: A Data-Driven Payoff Inference Engine for Strategic Security Applications. IEEE Trans. Comput. Soc. Syst. 7(1): 42-57 (2020) - [c252]Yaniv Oshrat, Noa Agmon, Sarit Kraus:
Adversarial Fence Patrolling: Non-Uniform Policies for Asymmetric Environments. AAAI 2020: 10377-10384 - [c251]Sarit Kraus, Amos Azaria, Jelena Fiosina, Maike Greve, Noam Hazon, Lutz M. Kolbe, Tim-Benjamin Lembcke, Jörg P. Müller, Sören Schleibaum, Mark Vollrath:
AI for Explaining Decisions in Multi-Agent Environments. AAAI 2020: 13534-13538 - [c250]Jiarui Gan, Edith Elkind, Sarit Kraus, Michael J. Wooldridge:
Mechanism Design for Defense Coordination in Security Games. AAMAS 2020: 402-410 - [c249]Yaniv Oshrat, Noa Agmon, Sarit Kraus:
Non-Uniform Policies for Multi-Robot Asymmetric Perimeter Patrol in Adversarial Domains. AAMAS 2020: 983-991 - [c248]Abhijin Adiga, Sarit Kraus, S. S. Ravi:
Boolean Games: Inferring Agents' Goals Using Taxation Queries. AAMAS 2020: 1735-1737 - [c247]Claudia V. Goldman, Albert Harounian, Ruben Mergui, Sarit Kraus:
Adaptive Driving Agent: From Driving a Machine to Riding with a Friend. HAI 2020: 179-186 - [c246]Elad Sarafian, Mor Sinay, Yoram Louzoun, Noa Agmon, Sarit Kraus:
Explicit Gradient Learning for Black-Box Optimization. ICML 2020: 8480-8490 - [c245]Abhijin Adiga, Sarit Kraus, Oleg Maksimov, S. S. Ravi:
Boolean Games: Inferring Agents' Goals Using Taxation Queries. IJCAI 2020: 1585-1591 - [c244]Elad Sarafian, Aviv Tamar, Sarit Kraus:
Constrained Policy Improvement for Efficient Reinforcement Learning. IJCAI 2020: 2863-2871 - [c243]Sören Schleibaum, Maike Greve, Tim-Benjamin Lembcke, Amos Azaria, Jelena Fiosina, Noam Hazon, Lutz M. Kolbe, Sarit Kraus, Jörg P. Müller, Mark Vollrath:
How Did You Like This Ride? An Analysis of User Preferences in Ridesharing Assignments. VEHITS 2020: 157-168 - [i16]Naftali Waxman, Sarit Kraus, Noam Hazon:
On Maximizing Egalitarian Value in K-coalitional Hedonic Games. CoRR abs/2001.10772 (2020) - [i15]Mor Sinay, Elad Sarafian, Yoram Louzoun, Noa Agmon, Sarit Kraus:
Explicit Gradient Learning. CoRR abs/2006.08711 (2020) - [i14]Erfan Pakdamanian, Shili Sheng, Sonia Baee, Seongkook Heo, Sarit Kraus, Lu Feng:
DeepTake: Prediction of Driver Takeover Behavior using Multimodal Data. CoRR abs/2012.15441 (2020)
2010 – 2019
- 2019
- [j117]Efrat Sless, Noa Agmon, Sarit Kraus:
Multi-robot adversarial patrolling: Handling sequential attacks. Artif. Intell. 274: 1-25 (2019) - [c242]Hanan Rosemarin, Ariel Rosenfeld, Sarit Kraus:
Emergency Department Online Patient-Caregiver Scheduling. AAAI 2019: 695-701 - [c241]Hanan Rosemarin, Ariel Rosenfeld, Sarit Kraus:
Emergency Department Online Patient-Caregiver Scheduling. AAAI 2019: 10013-10014 - [c240]Julian Gutierrez, Sarit Kraus, Michael J. Wooldridge:
Cooperative Concurrent Games. AAMAS 2019: 1198-1206 - [c239]Anisse Ismaili, Noam Hazon, Emi Watanabe, Makoto Yokoo, Sarit Kraus:
Complexity and Approximations in Robust Coalition Formation via Max-Min k-Partitioning. AAMAS 2019: 2036-2038 - [c238]Sharadhi Alape Suryanarayana, David Sarne, Sarit Kraus:
Information disclosure and partner management in affiliate marketing. DAI 2019: 3:1-3:8 - [c237]Idan Achituve, Sarit Kraus, Jacob Goldberger:
Interpretable Online Banking Fraud Detection Based On Hierarchical Attention Mechanism. MLSP 2019: 1-6 - [c236]Erez Hartuv, Noa Agmon, Sarit Kraus:
Scheduling Spare Drones for Persistent Task Performance with Several Replacement Stations - EXTENDED ABSTRACT. MRS 2019: 95-97 - [c235]Yaniv Oshart, Noa Agmon, Sarit Kraus:
Non-Uniform Policies for Multi-Robot Asymmetric Perimeter Patrol in Adversarial Domains - EXTENDED ABSTRACT. MRS 2019: 136-138 - [e2]Sarit Kraus:
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, IJCAI 2019, Macao, China, August 10-16, 2019. ijcai.org 2019 [contents] - [i13]Sarit Kraus, Amos Azaria, Jelena Fiosina, Maike Greve, Noam Hazon, Lutz M. Kolbe, Tim-Benjamin Lembcke, Jörg P. Müller, Sören Schleibaum, Mark Vollrath:
AI for Explaining Decisions in Multi-Agent Environments. CoRR abs/1910.04404 (2019) - 2018
- [b4]Ariel Rosenfeld, Sarit Kraus:
Predicting Human Decision-Making: From Prediction to Action. Synthesis Lectures on Artificial Intelligence and Machine Learning, Morgan & Claypool Publishers 2018, ISBN 978-3-031-00023-2 - [j116]Liat Sless, Noam Hazon, Sarit Kraus, Michael J. Wooldridge:
Forming k coalitions and facilitating relationships in social networks. Artif. Intell. 259: 217-245 (2018) - [j115]Ariel Rosenfeld, Moshe Cohen, Matthew E. Taylor, Sarit Kraus:
Leveraging human knowledge in tabular reinforcement learning: a study of human subjects. Knowl. Eng. Rev. 33: e14 (2018) - [c234]Erez Hartuv, Noa Agmon, Sarit Kraus:
Scheduling Spare Drones for Persistent Task Performance under Energy Constraints. AAMAS 2018: 532-540 - [c233]Moshe Bitan, Sarit Kraus:
Combining Prediction of Human Decisions with ISMCTS in Imperfect Information Games. AAMAS 2018: 1874-1876 - [c232]Sarit Kraus:
Predicting Human Decision-Making: From Prediction to Action. HAI 2018: 1 - [c231]Sefi Erlich, Noam Hazon, Sarit Kraus:
Negotiation Strategies for Agents with Ordinal Preferences. IJCAI 2018: 210-218 - [c230]Ariel Rosenfeld, Oleg Maksimov, Sarit Kraus:
Optimal Cruiser-Drone Traffic Enforcement Under Energy Limitation. IJCAI 2018: 3848-3855 - [c229]Mor Sinay, Noa Agmon, Oleg Maksimov, Guy Levy, Moshe Bitan, Sarit Kraus:
UAV/UGV Search and Capture of Goal-Oriented Uncertain Targets*This research was supported in part by ISF grant #1337/15 and part by a grant from MOST, Israel and the JST Japan. IROS 2018: 8505-8512 - [c228]Akiva Kleinerman, Ariel Rosenfeld, Sarit Kraus:
Providing explanations for recommendations in reciprocal environments. RecSys 2018: 22-30 - [c227]Akiva Kleinerman, Ariel Rosenfeld, Francesco Ricci, Sarit Kraus:
Optimally balancing receiver and recommended users' importance in reciprocal recommender systems. RecSys 2018: 131-139 - [i12]Avi Rosenfeld, Sigal Sina, David Sarne, Or Avidov, Sarit Kraus:
A Study of WhatsApp Usage Patterns and Prediction Models without Message Content. CoRR abs/1802.03393 (2018) - [i11]Sefi Erlich, Noam Hazon, Sarit Kraus:
Negotiation Strategies for Agents with Ordinal Preferences. CoRR abs/1805.00913 (2018) - [i10]Ariel Rosenfeld, Moshe Cohen, Matthew E. Taylor, Sarit Kraus:
Leveraging human knowledge in tabular reinforcement learning: A study of human subjects. CoRR abs/1805.05769 (2018) - [i9]Elad Sarafian, Aviv Tamar, Sarit Kraus:
Safe Policy Learning from Observations. CoRR abs/1805.07805 (2018) - [i8]Akiva Kleinerman, Ariel Rosenfeld, Sarit Kraus:
Providing Explanations for Recommendations in Reciprocal Environments. CoRR abs/1807.01227 (2018) - 2017
- [j114]Samuel Barrett, Avi Rosenfeld, Sarit Kraus, Peter Stone:
Making friends on the fly: Cooperating with new teammates. Artif. Intell. 242: 132-171 (2017) - [j113]Galit Haim, Ya'akov (Kobi) Gal, Bo An, Sarit Kraus:
Human-computer negotiation in a three player market setting. Artif. Intell. 246: 34-52 (2017) - [j112]Ariel Rosenfeld, Noa Agmon, Oleg Maksimov, Sarit Kraus:
Intelligent agent supporting human-multi-robot team collaboration. Artif. Intell. 252: 211-231 (2017) - [c226]Moshe Bitan, Galit Nahari, Zvi Nisin, Ariel Roth, Sarit Kraus:
Psychologically Based Virtual-Suspect for Interrogative Interview Training. AAAI 2017: 993-1000 - [c225]Tanvi Verma, Pradeep Varakantham, Sarit Kraus, Hoong Chuin Lau:
Augmenting Decisions of Taxi Drivers through Reinforcement Learning for Improving Revenues. ICAPS 2017: 409-418 - [c224]Ariel Rosenfeld, Matthew E. Taylor, Sarit Kraus:
Speeding up Tabular Reinforcement Learning Using State-Action Similarities. AAMAS 2017: 1722-1724 - [c223]Don Perlis, Justin Brody, Sarit Kraus, Michael J. Miller:
The Internal Reasoning of Robots. COMMONSENSE 2017 - [c222]Ariel Rosenfeld, Oleg Maksimov, Sarit Kraus:
Optimizing Traffic Enforcement: From the Lab to the Roads. GameSec 2017: 3-20 - [c221]Ariel Rosenfeld, Sarit Kraus:
When Security Games Hit Traffic: Optimal Traffic Enforcement Under One Sided Uncertainty. IJCAI 2017: 3814-3822 - [c220]Ariel Rosenfeld, Matthew E. Taylor, Sarit Kraus:
Leveraging Human Knowledge in Tabular Reinforcement Learning: A Study of Human Subjects. IJCAI 2017: 3823-3830 - [c219]Mor Sinay, Noa Agmon, Oleg Maksimov, Sarit Kraus, David Peleg:
Maintaining Communication in Multi-Robot Tree Coverage. IJCAI 2017: 4515-4522 - [i7]Hanan Rosemarin, John P. Dickerson, Sarit Kraus:
Learning to Schedule Deadline- and Operator-Sensitive Tasks. CoRR abs/1706.06051 (2017) - [i6]Moshe Bitan, Sarit Kraus:
Combining Prediction of Human Decisions with ISMCTS in Imperfect Information Games. CoRR abs/1709.09451 (2017) - 2016
- [j111]Amos Azaria, Ya'akov Gal, Sarit Kraus, Claudia V. Goldman:
Strategic advice provision in repeated human-agent interactions. Auton. Agents Multi Agent Syst. 30(1): 4-29 (2016) - [j110]Avi Rosenfeld, Inon Zuckerman, Erel Segal-Halevi, Osnat Drein, Sarit Kraus:
NegoChat-A: a chat-based negotiation agent with bounded rationality. Auton. Agents Multi Agent Syst. 30(1): 60-81 (2016) - [j109]Chanhyun Kang, Sarit Kraus, Cristian Molinaro, Francesca Spezzano, V. S. Subrahmanian:
Diffusion centrality: A paradigm to maximize spread in social networks. Artif. Intell. 239: 70-96 (2016) - [j108]Ariel Rosenfeld, Sarit Kraus:
Providing Arguments in Discussions on the Basis of the Prediction of Human Argumentative Behavior. ACM Trans. Interact. Intell. Syst. 6(4): 30:1-30:33 (2016) - [c218]Avraham Shvartzon, Amos Azaria, Sarit Kraus, Claudia V. Goldman, Joachim Meyer, Omer Tsimhoni:
Personalized Alert Agent for Optimal User Performance. AAAI 2016: 857-864 - [c217]Ariel Rosenfeld, Sarit Kraus:
Strategical Argumentative Agent for Human Persuasion. ECAI 2016: 320-328 - [c216]