PhD Students
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Erez Hartuv
Multi-agent Scheduling Optimization in Dynamic Environments under Energy Constraints.
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Anat Hashavit
Detecting and Debunking Malicious Activity in Online Networks, 2023.
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Eldad De-Mendossa
A Relational Database based on Neural Networks (joint with Dr. Yosi Shiftan), February 1996.
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Multi-agent Cooperation, June 1997.
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Improving known search techniques and using them in dynamic environments, September 2001.
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Rina Azoulay-Schwartz
Protocols, Strategies and Learning Techniques for Reaching Agreements More Effectively in Multi-Agent Systems, May 2002.
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Combining Cooperative Planning and Temporal Reasoning in Dynamic Multi-agent Systems, May 2003.
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Agents for Multi-Attribute Auctions, March 2004.
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Efficient Algorithms in Large-Scale Agent Systems, December 2005.
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Negotiation and Coalition Formation in Costly Environments, January 2006. (Excellent).
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Dynamic Coordination Methods for Robotic Teams (joint with Gal Kaminka), June 2007.
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Protocols and strategies for agents teamwork, June 2007.
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Automated Agents for Bilateral Negotiation with Bounded Rational Agents under Uncertainty, March 2008.
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Roni Katz
Efficient automated negotiators using generic and demographic opponent modeling, June 2008.
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Automated agents for mediated negotiations and simulation, February 2009.
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Cooperative Agents in Partially Known Environments, March 2009.
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Models and Algorithmic Approaches for Cooperative Multi- Robot Systems (with Gal Kaminka), June 2008 (Excellent).
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Agent Models for Enhanced Interaction in Cooperative and Competitive Environments (with Jeff Rosenschein), October 2009.
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Statistical Models Assisting in Decision Making, May 2010.
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Social interaction under uncertainty in multi agent systems (joint with Yonatan Aumann), 2010.
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Online Classification of Multiple Attribute Time Series (with Gal Kaminka), November, 2011.
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Optimization in Dynamic Environments, January 2013
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Modeling argumentation strategies in humans and computer agents (with Kobi Gal), February 2014
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Analysis and Algorithms for Team Formation and Inner-Communication, June 2014
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Learning Agents for Negotiating with People, December 2014
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Automated Agents for Human Persuasion, March 2015
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Covering and Uncovering Hidden Information, May 2016.
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Automated Agents for Advice Provision, November 2017
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Effcient Strategies for Spatio Temporal Tasks, 2020
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Optimizing Agent–Human Interaction, 2020.
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Lifelong Learning: A Deep Reinforcement Learning Approach, 2022.
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Sharadhi Alape Suryanarayana
website
Managing Mining and Modeling Human Behavior in Online Environments, 2022.
Master Students
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Dror Levy
Human-UAV Cooperation for Target Search Mission, 2023.
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Inference System for Argumentation in Negotiations between Automatic Agents, October 1995.
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A Strategic Model for Negotiation among Autonomous Agents, December 1995.
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Sharing Resources through Negotiation in Multi-Agent Environments,November 1996.
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A modal active-logic with focus of attention for reasoning in time, January 1997.
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Tasks execution in an unknown environment (joint with Shlomo Engelson), May 1997.
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Negotiation Between Agents about File Allocation in Distributed Environment, June 1997.
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Models and Algorithms for Secure Knowledge Bases, June 1997.
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Cooperation Among Agents, June 1997.
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Negotiation Methods for Automatic Agents, June 1997.
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A Distributed Information System for Parking Allocation (joint with Orly Kremien), September 1997.
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Orna Aroch
Distributed Problem Solving in Multi-Agent Environment,November 1997.
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Cooperative Information Agents, March 1998.
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A physics-oriented approach for distribution of delivery tasks in large scale automated-agent systems, September 1998.
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Revital Darshan-Vaknin
Environment Mapping by a Robot while Executing Tasks (joint with Shlomo Engelson), February 1999.
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Strategies and methods of learning to improve performance in auctions, August 2000.
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Aspir Freitsis
Negotiations in the pollution sharing problem, August 2000.
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Automated Negotiator for Fishing Dispute, August 2001.
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Automated intelligent content selection tools for electronic newspapers, December 2001.
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Real time Optimal path searches,(joint with Ariel Felner), January 2002.
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Learning Users Interests for Providing Relevant Information, March 2002.
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Attaining Fast and Successful Search in E-Commerce Environments,June 2002.
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The Manpower Collector Problem. (joint with Ariel Felner), October 2002.
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Shimon Pomeransky
Finding Alternatives to Best Path. (joint with Ariel Felner), October 2002.
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Distributed algorithms for large-scale agent systems,November 2002.
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Coalition Formation in the RFP domain with incomplete information (joint with Onn Shehory), January 2004.
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Multi-agent Physical A* Using Large Pheromones (joint with Ariel Felner), March 2004.
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Improving Memory-Based-Heuristics, (joint with Ariel Felner), March 2004.
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The Value of Information in Negotiation (joint with Rina Azoulay-Schwartz), May 2004.
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Heuristic routing in comunication networks (joint with Yuval Shavitt),June 2004.
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Multi-personality agents in multi-agent environment, October 2004.
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Using Learning to optimize agent movement in Dynamic Gossip Networks, October 2004.
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Automated Mediation for Bilateral Negotiation in a Crisis Simulation, January 2005.
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The influence of Social Dependencies on Decision-Making in Environments with Full Visibility, March 2005.
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Reliable and Efficient Distribute Algorithms for Verification in Very Large Scale Systems, March 2005.
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Improved Cooperative Negotiation in a Multi-Agent System for Real-Time Load Balancing of Mobile Cellular Network, January 2007.
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Utility Based Clustering, October 2007.
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Ortal Bitton
Automated negotiators using generic learning model in multi-agents environments, December 2007.
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(with Gal Kaminka), Supporting Collaborative Activity, January 2008.
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(with Gal Kaminka) Multilateral Matchmaking and Hybrid Coverage in Multi Agent Systems, December 2008.
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Using General Opponent Modeling to Improve Negotiation Outcomes, November 2009. (with Jeff Rosenschein).
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Obtaining Scalable and Accurate Classification in Large Scale Spatiotemporal Domains, November 2009 (with Gal Kaminka).
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In-Network Aggregation Along Routing For Detection and Tracking in Wireless Sensors Networks, November 2011.
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Identifying Missing Node Information in Social Networks, October 2012.
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Modelling Human Strategic Decisions using Facial Expressions and History, November 2013.
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Effective Coordination in Mixed Agent-Human Teamss, March 2014.
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Efrat Sless, Multi-Robot Adversarial Patrolling: Detecting and Responding to Coordinated Attacks (with Noa Agmon), 2015.
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Liat Sless, Forming Coalitions and Facilitating Relationships for Completing Tasks in Social Networks (with Noam Hazon), 2015.
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The Efect of Transparency in Reciprocal Recommender Systems (with Ariel Rosenfeld), 2018.
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Moshe Cohen
Extended study on human aspects in speeding up reinforcement learning, (with Ariel Rosenfeld), 2018.
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Learning algorithms for understanding people's intentions in autonomous cars, (with Ariel Rosenfeld), 2019.
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Search Pathology in Multi-Player Game Trees, 2019 (with Inon Zuckerman).
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Interpretable Online Banking Fraud Detection based on Hierarchical Attention Mechanism, 2019 (with Jacob Goldberger).
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Online Recommendation Policy for Optimizing Medical Image Reading, 2019 (with Ariel Rosenfeld).
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Karin Sheri
Destabilizing Networks By Removing Vertices Which are Essential to Network Functioning, 2020.
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Domain independent advice provision for call center representatives, 2021.
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Understanding Coalition Formation in Secure Stackelberg Games, 2021.
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Shai Keynan
Applications Of Hyper Networks in RL, 2021.
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Negotiation Strategy for Tuning Between Individual Utility and Social Welfare in Multilateral Negotiation (with David Sarne), 2021.
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Learner-Independent Targeted Data Omission Attacks (with Onn Shehory), 2021.
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Integrating Expert Knowledge into Reinforcement Learning for Robotics, 2022.
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Osnat Ackerman Viden
Allocation Problem in Remote Teleoperation: Online Matching with Offline Reusable Resources and Delayed Assignments, 2022.
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Misinformed SERP Abandonment in Online Health Search, 2023.
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Gideon Freund
Applications of Modeling State Distributions in Reinforcement and Imitation Learning, 2023.