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